Triple

T5791645
Position Surface form Disambiguated ID Type / Status
Subject Shere Khan E128406 entity
Predicate portrayedBy P1507 FINISHED
Object Idris Elba E6094 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: Idris Elba | Statement: [Shere Khan, portrayedBy, Idris Elba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Idris Elba
Context triple: [Shere Khan, portrayedBy, Idris Elba]
  • A. Idris Elba chosen
    Idris Elba is a British actor, producer, and musician known for his roles in projects such as "Luther," "The Wire," and numerous major Hollywood films.
  • B. Djimon Hounsou
    Djimon Hounsou is a Beninese-American actor and former model known for powerful supporting roles in films such as "Amistad," "Gladiator," and "Blood Diamond."
  • C. Ving Rhames
    Ving Rhames is an American actor best known for his deep voice and memorable roles in films such as the Mission: Impossible series and Pulp Fiction.
  • D. Colin Freeman
    Colin Freeman is the former husband of American singer and actress Lorna Luft, daughter of Judy Garland.
  • E. David Oyelowo
    David Oyelowo is a British-Nigerian actor known for his powerful performances in film and television, particularly in biographical and historical dramas.
  • 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_69c00845ca68819081a2ce3ecca577f7 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02a56c73c81908a1c72c86e474b54 completed March 22, 2026, 5:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c09820f5c08190811e848eb44ce5b9 completed March 23, 2026, 1:32 a.m.
Created at: March 22, 2026, 3:51 p.m.