Triple

T1790649
Position Surface form Disambiguated ID Type / Status
Subject The Departed E39486 entity
Predicate castMember P1668 FINISHED
Object Ray Winstone E178403 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: Ray Winstone | Statement: [The Departed, castMember, Ray Winstone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ray Winstone
Context triple: [The Departed, castMember, Ray Winstone]
  • A. Ray Winstone chosen
    Ray Winstone is an English actor known for his tough-guy roles in British film and television, including performances in movies like "Sexy Beast" and "The Departed."
  • B. Stephen Norton
    Stephen Norton is a mathematician known for his contributions to the theory of finite groups and the Monster group in particular.
  • C. David Craig
    David Craig is a senior Royal Air Force officer who rose to become Chief of the Air Staff and later Chief of the Defence Staff of the United Kingdom.
  • D. Mark Strong
    Mark Strong is a British actor known for his intense screen presence and frequent roles as complex villains or stern mentors in films such as "Kingsman," "Sherlock Holmes," and "Tinker Tailor Soldier Spy."
  • E. Jack Davenport
    Jack Davenport is a British actor best known for his roles in the television series "Coupling" and the "Pirates of the Caribbean" film franchise.
  • 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_69a88631854081909723959921e45c2b completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa6512804c8190a5743c10bd37f83f completed March 6, 2026, 5:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69adbf54330c81908046b519a0297760 completed March 8, 2026, 6:26 p.m.
Created at: March 4, 2026, 7:32 p.m.