Triple

T15613005
Position Surface form Disambiguated ID Type / Status
Subject Mildred Hayes E375343 entity
Predicate portrayalRecognizedBy P32392 FINISHED
Object Golden Globe Award for Best Actress in a Motion Picture – Drama (won by Frances McDormand)
The Golden Globe Award for Best Actress in a Motion Picture – Drama is a prestigious annual film award presented by the Hollywood Foreign Press Association to honor outstanding lead performances by actresses in dramatic feature films.
 E1167483 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: Golden Globe Award for Best Actress in a Motion Picture – Drama (won by Frances McDormand) | Statement: [Mildred Hayes, portrayalRecognizedBy, Golden Globe Award for Best Actress in a Motion Picture – Drama (won by Frances McDormand)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Golden Globe Award for Best Actress in a Motion Picture – Drama (won by Frances McDormand)
Context triple: [Mildred Hayes, portrayalRecognizedBy, Golden Globe Award for Best Actress in a Motion Picture – Drama (won by Frances McDormand)]
  • A. Academy Award for Best Actress (Frances McDormand, 1997)
    The Academy Award for Best Actress (Frances McDormand, 1997) honors McDormand’s acclaimed leading performance in the crime film "Fargo."
  • B. Academy Award for Best Actress (won by Jennifer Lawrence)
    The Academy Award for Best Actress (won by Jennifer Lawrence) is the Oscar she received for her leading performance as Tiffany Maxwell in the film "Silver Linings Playbook."
  • C. Academy Award for Best Actress (won by Emma Stone)
    The Academy Award for Best Actress (won by Emma Stone) is the Oscar she received for her leading performance as Mia Dolan in the 2016 musical film "La La Land."
  • D. Golden Globe Award for Best Actress in a Motion Picture – Musical or Comedy (won by Jennifer Lawrence)
    The Golden Globe Award for Best Actress in a Motion Picture – Musical or Comedy (won by Jennifer Lawrence) is a prestigious Hollywood Foreign Press Association honor recognizing her acclaimed comedic performance in the film "Silver Linings Playbook."
  • E. Academy Award for Best Actress for Requiem for a Dream
    The Academy Award for Best Actress for Requiem for a Dream is the Oscar nomination recognizing Ellen Burstyn’s acclaimed lead performance in Darren Aronofsky’s 2000 psychological drama film.
  • 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: Golden Globe Award for Best Actress in a Motion Picture – Drama (won by Frances McDormand)
Triple: [Mildred Hayes, portrayalRecognizedBy, Golden Globe Award for Best Actress in a Motion Picture – Drama (won by Frances McDormand)]
Generated description
The Golden Globe Award for Best Actress in a Motion Picture – Drama is a prestigious annual film award presented by the Hollywood Foreign Press Association to honor outstanding lead performances by actresses in dramatic feature films.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Golden Globe Award for Best Actress in a Motion Picture – Drama (won by Frances McDormand)
Target entity description: The Golden Globe Award for Best Actress in a Motion Picture – Drama is a prestigious annual film award presented by the Hollywood Foreign Press Association to honor outstanding lead performances by actresses in dramatic feature films.
  • A. Academy Award for Best Actress (Frances McDormand, 1997)
    The Academy Award for Best Actress (Frances McDormand, 1997) honors McDormand’s acclaimed leading performance in the crime film "Fargo."
  • B. Academy Award for Best Actress (won by Jennifer Lawrence)
    The Academy Award for Best Actress (won by Jennifer Lawrence) is the Oscar she received for her leading performance as Tiffany Maxwell in the film "Silver Linings Playbook."
  • C. Academy Award for Best Actress (won by Emma Stone)
    The Academy Award for Best Actress (won by Emma Stone) is the Oscar she received for her leading performance as Mia Dolan in the 2016 musical film "La La Land."
  • D. Golden Globe Award for Best Actress in a Motion Picture – Musical or Comedy (won by Jennifer Lawrence)
    The Golden Globe Award for Best Actress in a Motion Picture – Musical or Comedy (won by Jennifer Lawrence) is a prestigious Hollywood Foreign Press Association honor recognizing her acclaimed comedic performance in the film "Silver Linings Playbook."
  • E. Academy Award for Best Actress for Requiem for a Dream
    The Academy Award for Best Actress for Requiem for a Dream is the Oscar nomination recognizing Ellen Burstyn’s acclaimed lead performance in Darren Aronofsky’s 2000 psychological drama film.
  • 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e8148a0819087d6d69cc84487ca completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff5f3913908190acdd7da62b4f521d completed May 9, 2026, 4:22 p.m.
NEDg Description generation batch_69ff5ffaefb4819094468ff0008740f8 completed May 9, 2026, 4:25 p.m.
NED2 Entity disambiguation (via description) batch_69ff6062f0ac819081270f270ce2f057 completed May 9, 2026, 4:27 p.m.
Created at: April 10, 2026, 4:13 a.m.