Triple

T2995614
Position Surface form Disambiguated ID Type / Status
Subject Horse Girl E81057 entity
Predicate producer P490 FINISHED
Object Jeff Baena E315751 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: Jeff Baena | Statement: [Horse Girl, producer, Jeff Baena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeff Baena
Context triple: [Horse Girl, producer, Jeff Baena]
  • A. Jeff Baena chosen
    Jeff Baena is an American filmmaker and screenwriter known for his offbeat, character-driven independent films such as "Life After Beth," "Joshy," and "The Little Hours."
  • B. Mike Elizondo
    Mike Elizondo is an American producer, songwriter, and multi-instrumentalist known for his work across hip-hop, pop, and rock with artists such as Dr. Dre, Eminem, and Fiona Apple.
  • C. Mark Vicente
    Mark Vicente is a cinematographer and filmmaker best known for his work on the documentary "What the Bleep Do We Know!?" and his involvement in the NXIVM organization.
  • D. David Arellano
    David Arellano was a Chilean footballer and influential early 20th-century sports figure best known for co-founding and starring for the club Colo-Colo.
  • E. David Mendoza
    David Mendoza was a composer and conductor active in early 20th-century cinema, known for his work on silent film scores.
  • 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_69ad8b187fc8819085914d3c9ea3142d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad99f2e5888190b3346012e2578dab completed March 8, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1de9d8f6c81909c216efbf2f720fc completed March 11, 2026, 9:29 p.m.
Created at: March 8, 2026, 2:59 p.m.