Triple

T5621934
Position Surface form Disambiguated ID Type / Status
Subject Whittaker E147626 entity
Predicate hasNotableBearer P458 FINISHED
Object Forest Whittaker 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 Whittaker | Statement: [Whittaker, hasNotableBearer, Forest Whittaker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Forest Whittaker
Context triple: [Whittaker, hasNotableBearer, Forest Whittaker]
  • 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. Mel Gibson
    Mel Gibson is an American-born Australian actor and filmmaker best known for starring in the "Mad Max" and "Lethal Weapon" series and directing the Academy Award–winning film "Braveheart."
  • 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. Ed Harris
    Ed Harris is an American actor and filmmaker known for his intense, authoritative performances in films such as "The Truman Show," "Apollo 13," and "Pollock."
  • E. Nick Nolte
    Nick Nolte is an American actor known for his rugged screen presence and acclaimed performances in films such as "The Prince of Tides," "Affliction," and "48 Hrs."
  • 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_69c00906f2a88190a992c66b13d606d4 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c022133eec819086acb04864dde5ee completed March 22, 2026, 5:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d59317c8190a4a3b186a46a7249 completed March 22, 2026, 8:13 p.m.
Created at: March 22, 2026, 3:40 p.m.