Triple

T5576730
Position Surface form Disambiguated ID Type / Status
Subject Tubal-cain (Noah 2014 character) E146337 entity
Predicate portrayedBy P1507 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: [Tubal-cain (Noah 2014 character), portrayedBy, Ray Winstone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ray Winstone
Context triple: [Tubal-cain (Noah 2014 character), portrayedBy, 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. David Morrissey
    David Morrissey is an English actor and director known for his versatile performances in film and television, including prominent roles in series like "The Walking Dead."
  • C. Stephen Norton
    Stephen Norton is a mathematician known for his contributions to the theory of finite groups and the Monster group in particular.
  • D. 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.
  • E. 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."
  • 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_69c008ffed108190a084602227af6157 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c020697fbc8190bd084d7896db3ab8 completed March 22, 2026, 5:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c02855acac8190bd00219aa9647e98 completed March 22, 2026, 5:35 p.m.
Created at: March 22, 2026, 3:37 p.m.