Triple

T4614643
Position Surface form Disambiguated ID Type / Status
Subject Sexiest Man Alive E100837 entity
Predicate hasNotableRecipient P108 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: [Sexiest Man Alive, hasNotableRecipient, Idris Elba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Idris Elba
Context triple: [Sexiest Man Alive, hasNotableRecipient, 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_69bd43cf363c819087fd5ab441b4a3f4 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd59c3d9ec8190a50ef03627dc351d completed March 20, 2026, 2:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfa895b7481909e54cfa56a54c8dc completed March 21, 2026, 1:55 a.m.
Created at: March 20, 2026, 1:12 p.m.