Triple

T10738539
Position Surface form Disambiguated ID Type / Status
Subject Aimée & Jaguar E253257 entity
Predicate cinematographyBy P1953 FINISHED
Object Tony Imi E572472 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: Tony Imi | Statement: [Aimée & Jaguar, cinematographyBy, Tony Imi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tony Imi
Context triple: [Aimée & Jaguar, cinematographyBy, Tony Imi]
  • A. Tony Imi chosen
    Tony Imi was a British cinematographer known for his work on feature films and television, including the drama "International Velvet."
  • B. Ben Daimio
    Ben Daimio is a former U.S. Marine turned scarred, resurrected field leader in the Hellboy universe’s B.P.R.D., known for his volatile temperament and hidden monstrous curse.
  • C. Tony Yayo
    Tony Yayo is an American rapper best known as a member of 50 Cent’s hip hop group G-Unit.
  • D. Andy Imutan
    Andy Imutan is a Filipino American labor leader known for his role in organizing and advocating for farm workers’ rights in the United States.
  • E. Joseph Yam
    Joseph Yam is a prominent Hong Kong banker best known as the founding Chief Executive of the Hong Kong Monetary Authority, where he played a key role in managing the territory’s monetary and financial stability.
  • 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_69d6aa5e51e8819095f06881cecf152e completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d710424d8c81908ee9b59d622f2af5 completed April 9, 2026, 2:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69de22ed6edc8190beb76bd2971c7cec completed April 14, 2026, 11:20 a.m.
Created at: April 8, 2026, 9:14 p.m.