Triple

T15710303
Position Surface form Disambiguated ID Type / Status
Subject Cassian Elwes E380818 entity
Predicate hasWorkedWith P9615 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: [Cassian Elwes, hasWorkedWith, Forest Whitaker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Forest Whitaker
Context triple: [Cassian Elwes, hasWorkedWith, 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. Danny Huston
    Danny Huston is an American actor and director known for his character roles in films such as "The Constant Gardener," "X-Men Origins: Wolverine," and "Wonder Woman."
  • D. 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.
  • E. 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.
  • 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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f8d8b648190842c635f2ae7bfa4 completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff757d74b481909c8332a09ae36b4f completed May 9, 2026, 5:57 p.m.
Created at: April 10, 2026, 4:45 a.m.