Triple

T14744851
Position Surface form Disambiguated ID Type / Status
Subject Jon Avnet E346440 entity
Predicate coFounded P104 FINISHED
Object Brooklyn Films E700745 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: Brooklyn Films | Statement: [Jon Avnet, coFounded, Brooklyn Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brooklyn Films
Context triple: [Jon Avnet, coFounded, Brooklyn Films]
  • A. Brooklyn Films chosen
    Brooklyn Films is a film production company best known for producing the retro-futuristic adventure movie "Sky Captain and the World of Tomorrow."
  • B. Greenpoint Films
    Greenpoint Films is a film production company best known for producing the acclaimed period drama "Enchanted April."
  • C. Bloom Films
    Bloom Films is a film production company known for producing the historical comedy-drama movie "Elvis & Nixon."
  • D. Brio Films
    Brio Films is a French film production company known for producing imaginative and visually distinctive movies such as Michel Gondry’s "Mood Indigo."
  • E. New Yorker Films
    New Yorker Films is an American film distribution company known for bringing international, independent, and art-house cinema to U.S. audiences.
  • 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_69d822e6f1c88190bc494d491a907114 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7d002708190a32a4a45e96fc389 completed April 14, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb9638648190a2a3eb255ec5ae28 completed May 8, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:30 a.m.