Triple

T1105246
Position Surface form Disambiguated ID Type / Status
Subject Panic Room E25473 entity
Predicate starring P1507 FINISHED
Object Forest Whitaker E31928 NE FINISHED

How this triple was built (2 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: Forest Whitaker | Statement: [Panic Room, starring, Forest Whitaker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Forest Whitaker
Context triple: [Panic Room, starring, Forest Whitaker]
  • A. Forest Whitaker chosen
    Forest Whitaker is an Academy Award–winning American actor, director, and producer known for his intense, nuanced performances in films such as "The Last King of Scotland."
  • B. Denzel Washington
    Denzel Washington is an acclaimed American actor and filmmaker known for his powerful performances in films such as "Training Day," "Malcolm X," and "Glory."
  • C. Daniel Day-Lewis
    Daniel Day-Lewis is a highly acclaimed British-Irish method actor renowned for his intense character immersion and record three Academy Awards for Best Actor.
  • D. Sean Penn
    Sean Penn is an acclaimed American actor and filmmaker known for his intense, character-driven performances and multiple major awards, including two Academy Awards for Best Actor.
  • E. Tommy Lee Jones
    Tommy Lee Jones is an American actor and filmmaker known for his tough, stoic characters in films such as "The Fugitive," "No Country for Old Men," and "Men in Black."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a49428d4448190b3b36991ceae87ce completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b9e21f048190bf4b63dd2c7c7641 completed March 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac4c4a402081908ee138257425a336 completed March 7, 2026, 4:03 p.m.
Created at: March 1, 2026, 7:43 p.m.