Triple

T14101955
Position Surface form Disambiguated ID Type / Status
Subject Renner E339403 entity
Predicate hasNotableBearer P458 FINISHED
Object Jeremy Renner E166838 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: Jeremy Renner | Statement: [Renner, hasNotableBearer, Jeremy Renner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeremy Renner
Context triple: [Renner, hasNotableBearer, Jeremy Renner]
  • A. Jeremy Renner chosen
    Jeremy Renner is an American actor and musician best known for his roles in films such as "The Hurt Locker" and as Hawkeye in the Marvel Cinematic Universe.
  • B. Jason Clarke
    Jason Clarke is an Australian actor known for his intense performances in films such as "Zero Dark Thirty," "Dawn of the Planet of the Apes," and "Chappaquiddick."
  • C. Ben Foster
    Ben Foster is an American actor known for his intense, often gritty performances in films such as "3:10 to Yuma," "Hell or High Water," and "The Messenger."
  • D. Ben Foster
    Ben Foster is a British composer and orchestrator best known for his work on television scores, including contributions to the revived Doctor Who series.
  • E. Scott Ruffalo
    Scott Ruffalo was an American hairstylist and the younger brother of actor Mark Ruffalo, whose 2008 shooting death drew significant media attention.
  • 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_69d81c69b5c8819094aa1abf18302908 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5fbbf0b08190ba1ea3657d6db005 completed April 14, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd0b108908190b4b408f21ecb877a completed May 7, 2026, 5:49 p.m.
Created at: April 9, 2026, 10:22 p.m.