Triple

T7773107
Position Surface form Disambiguated ID Type / Status
Subject LaVona Golden E179120 entity
Predicate awardAssociatedWithPortrayal P36868 FINISHED
Object BAFTA Award for Best Actress in a Supporting Role (won by Allison Janney)
The BAFTA Award for Best Actress in a Supporting Role (won by Allison Janney) is a British Academy Film Award recognizing Janney’s acclaimed supporting performance, notably for her role as LaVona Golden in the film "I, Tonya."
E688255 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: BAFTA Award for Best Actress in a Supporting Role (won by Allison Janney) | Statement: [LaVona Golden, awardAssociatedWithPortrayal, BAFTA Award for Best Actress in a Supporting Role (won by Allison Janney)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BAFTA Award for Best Actress in a Supporting Role (won by Allison Janney)
Context triple: [LaVona Golden, awardAssociatedWithPortrayal, BAFTA Award for Best Actress in a Supporting Role (won by Allison Janney)]
  • A. Academy Award for Best Supporting Actress for Silver Linings Playbook
    The Academy Award for Best Supporting Actress for Silver Linings Playbook is the Oscar nomination recognizing an actress’s supporting performance in the 2012 romantic comedy-drama film "Silver Linings Playbook."
  • B. Golden Globe Award for Best Actress – Television Series Drama (Robin Wright)
    The Golden Globe Award for Best Actress – Television Series Drama (Robin Wright) recognizes Robin Wright’s acclaimed performance as Claire Underwood in the political drama series "House of Cards."
  • C. National Board of Review Award for Best Supporting Actress
    The National Board of Review Award for Best Supporting Actress is an annual American film honor recognizing the most outstanding performance by an actress in a supporting role as selected by the National Board of Review.
  • D. Academy Award for Best Supporting Actress (Anne Revere)
    The Academy Award for Best Supporting Actress (Anne Revere) recognizes Anne Revere’s Oscar-nominated performance in a supporting role, notably including her work in the film "Gentleman's Agreement."
  • E. National Board of Review Award for Best Actress
    The National Board of Review Award for Best Actress is an annual American film honor recognizing the most outstanding leading performance by an actress as selected by the National Board of Review.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: BAFTA Award for Best Actress in a Supporting Role (won by Allison Janney)
Triple: [LaVona Golden, awardAssociatedWithPortrayal, BAFTA Award for Best Actress in a Supporting Role (won by Allison Janney)]
Generated description
The BAFTA Award for Best Actress in a Supporting Role (won by Allison Janney) is a British Academy Film Award recognizing Janney’s acclaimed supporting performance, notably for her role as LaVona Golden in the film "I, Tonya."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: BAFTA Award for Best Actress in a Supporting Role (won by Allison Janney)
Target entity description: The BAFTA Award for Best Actress in a Supporting Role (won by Allison Janney) is a British Academy Film Award recognizing Janney’s acclaimed supporting performance, notably for her role as LaVona Golden in the film "I, Tonya."
  • A. Academy Award for Best Supporting Actress for Silver Linings Playbook
    The Academy Award for Best Supporting Actress for Silver Linings Playbook is the Oscar nomination recognizing an actress’s supporting performance in the 2012 romantic comedy-drama film "Silver Linings Playbook."
  • B. Golden Globe Award for Best Actress – Television Series Drama (Robin Wright)
    The Golden Globe Award for Best Actress – Television Series Drama (Robin Wright) recognizes Robin Wright’s acclaimed performance as Claire Underwood in the political drama series "House of Cards."
  • C. National Board of Review Award for Best Supporting Actress
    The National Board of Review Award for Best Supporting Actress is an annual American film honor recognizing the most outstanding performance by an actress in a supporting role as selected by the National Board of Review.
  • D. Academy Award for Best Supporting Actress (Anne Revere)
    The Academy Award for Best Supporting Actress (Anne Revere) recognizes Anne Revere’s Oscar-nominated performance in a supporting role, notably including her work in the film "Gentleman's Agreement."
  • E. National Board of Review Award for Best Actress
    The National Board of Review Award for Best Actress is an annual American film honor recognizing the most outstanding leading performance by an actress as selected by the National Board of Review.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69c69f30602c819082ab52cd4af5c592 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c7046048688190a6cbc64e82b58eca completed March 27, 2026, 10:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8d6d65e308190924c05df5a0a4959 completed March 29, 2026, 7:37 a.m.
NEDg Description generation batch_69c8d779769c8190a9be6fbc065156e0 completed March 29, 2026, 7:40 a.m.
NED2 Entity disambiguation (via description) batch_69c8d80a88f8819098bdb678e86f9be9 completed March 29, 2026, 7:43 a.m.
Created at: March 27, 2026, 4:11 p.m.