Triple

T8960242
Position Surface form Disambiguated ID Type / Status
Subject Catherine Keener E213981 entity
Predicate nominatedFor P1791 FINISHED
Object Academy Award for Best Supporting Actress for Being John Malkovich
The Academy Award for Best Supporting Actress for Being John Malkovich is the Oscar nomination recognizing Catherine Keener's acclaimed supporting performance in the 1999 surreal comedy-drama film "Being John Malkovich."
E770361 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: Academy Award for Best Supporting Actress for Being John Malkovich | Statement: [Catherine Keener, nominatedFor, Academy Award for Best Supporting Actress for Being John Malkovich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Academy Award for Best Supporting Actress for Being John Malkovich
Context triple: [Catherine Keener, nominatedFor, Academy Award for Best Supporting Actress for Being John Malkovich]
  • A. Academy Award for Best Supporting Actress for Up in the Air
    The Academy Award for Best Supporting Actress for Up in the Air is the Oscar nomination recognizing Vera Farmiga’s acclaimed supporting performance in the 2009 drama film "Up in the Air."
  • B. 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.
  • C. Academy Award for Best Supporting Actress for Wild at Heart
    The Academy Award for Best Supporting Actress for Wild at Heart is the Oscar nomination Diane Ladd received for her supporting role in David Lynch’s 1990 film "Wild at Heart."
  • D. 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."
  • E. Academy Award for Best Supporting Actress for Jennifer Tilly
    The Academy Award for Best Supporting Actress nomination for Jennifer Tilly recognized her acclaimed comedic and dramatic performance in Woody Allen’s 1994 film "Bullets over Broadway."
  • 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: Academy Award for Best Supporting Actress for Being John Malkovich
Triple: [Catherine Keener, nominatedFor, Academy Award for Best Supporting Actress for Being John Malkovich]
Generated description
The Academy Award for Best Supporting Actress for Being John Malkovich is the Oscar nomination recognizing Catherine Keener's acclaimed supporting performance in the 1999 surreal comedy-drama film "Being John Malkovich."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Academy Award for Best Supporting Actress for Being John Malkovich
Target entity description: The Academy Award for Best Supporting Actress for Being John Malkovich is the Oscar nomination recognizing Catherine Keener's acclaimed supporting performance in the 1999 surreal comedy-drama film "Being John Malkovich."
  • A. Academy Award for Best Supporting Actress for Up in the Air
    The Academy Award for Best Supporting Actress for Up in the Air is the Oscar nomination recognizing Vera Farmiga’s acclaimed supporting performance in the 2009 drama film "Up in the Air."
  • B. 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.
  • C. Academy Award for Best Supporting Actress for Wild at Heart
    The Academy Award for Best Supporting Actress for Wild at Heart is the Oscar nomination Diane Ladd received for her supporting role in David Lynch’s 1990 film "Wild at Heart."
  • D. 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."
  • E. Academy Award for Best Supporting Actress for Jennifer Tilly
    The Academy Award for Best Supporting Actress nomination for Jennifer Tilly recognized her acclaimed comedic and dramatic performance in Woody Allen’s 1994 film "Bullets over Broadway."
  • 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_69ca839cd6008190a1546a701a56710c completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6746fbf88190aba658b4b9c2e4b0 completed April 1, 2026, 12:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc94ab868819080ff3fc7532a3874 completed April 3, 2026, 2:06 p.m.
NEDg Description generation batch_69cfcd33936c8190bcbb0861e330b895 completed April 3, 2026, 2:22 p.m.
NED2 Entity disambiguation (via description) batch_69cfcdd61ff8819097ca9662aa42cb4a completed April 3, 2026, 2:25 p.m.
Created at: March 30, 2026, 7 p.m.