Triple

T1748355
Position Surface form Disambiguated ID Type / Status
Subject Idrissa E38384 entity
Predicate hasNotableBearer P458 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: [Idrissa, hasNotableBearer, Idris Elba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Idris Elba
Context triple: [Idrissa, hasNotableBearer, 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. David Oyelowo
    David Oyelowo is a British-Nigerian actor known for his powerful performances in film and television, particularly in biographical and historical dramas.
  • E. Chiwetel Ejiofor
    Chiwetel Ejiofor is an acclaimed British actor known for his powerful performances in films such as "12 Years a Slave," "Doctor Strange," and numerous stage and television roles.
  • 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_69a8862b01a48190ab47209063af82d9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa63ecda0c819091f81942a5bde31d completed March 6, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69adb5c28ac881909ba2a7e5c2067127 completed March 8, 2026, 5:45 p.m.
Created at: March 4, 2026, 7:31 p.m.