Triple

T14854482
Position Surface form Disambiguated ID Type / Status
Subject Partition (music video) E349316 entity
Predicate director P255 FINISHED
Object Jake Nava E69967 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: Jake Nava | Statement: [Partition (music video), director, Jake Nava]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jake Nava
Context triple: [Partition (music video), director, Jake Nava]
  • A. Jake Nava chosen
    Jake Nava is a British music video director known for his visually striking work with major artists across pop and R&B.
  • B. Darrin Navarro
    Darrin Navarro is a film editor known for his work on feature films such as "Brain on Fire."
  • C. Mike Navarro
    Mike Navarro is a relative of American guitarist Dave Navarro, known for his work with Jane's Addiction and the Red Hot Chili Peppers.
  • D. Steve Navarro
    Steve Navarro is a fictional CIA station chief and covert traitor who serves as a primary antagonist in the television miniseries "24: Live Another Day."
  • E. Chris Núñez
    Chris Núñez is a renowned American tattoo artist and television personality best known for co-hosting the reality competition series "Miami Ink" and serving as a judge on "Ink Master."
  • 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_69d822ed7e1881909b90fca143ad7e34 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded44318f0819080b6c599f2d3474f completed April 14, 2026, 11:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e7fc904819094269b7c785ead69 completed May 9, 2026, 12:23 a.m.
Created at: April 10, 2026, 1:54 a.m.