Triple

T3859640
Position Surface form Disambiguated ID Type / Status
Subject King of New York E90103 entity
Predicate director P255 FINISHED
Object Abel Ferrara E379591 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: Abel Ferrara | Statement: [King of New York, director, Abel Ferrara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abel Ferrara
Context triple: [King of New York, director, Abel Ferrara]
  • A. Abel Ferrara chosen
    Abel Ferrara is an American filmmaker known for his gritty, provocative crime dramas and cult classics such as "Bad Lieutenant" and "King of New York."
  • B. Gaspar Noé
    Gaspar Noé is an Argentine-French filmmaker known for his provocative, visually experimental, and psychologically intense films such as "Irreversible" and "Enter the Void."
  • C. Paul Schrader
    Paul Schrader is an American filmmaker and screenwriter known for his intense, psychologically driven dramas and frequent collaborations with director Martin Scorsese.
  • D. John Cassavetes
    John Cassavetes was an influential American independent filmmaker and actor, renowned for his raw, improvisational style and pioneering role in modern character-driven cinema.
  • E. Alan Rudolph
    Alan Rudolph is an American film director and screenwriter known for his offbeat, character-driven dramas and romantic films, often blending ensemble casts with stylized, atmospheric storytelling.
  • 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_69aed95b3c088190a8f85d19e6070599 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec1ff39c8190b83a88abd840a0e3 completed March 9, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b50424b23c8190b888cfb79e26e758 completed March 14, 2026, 6:45 a.m.
Created at: March 9, 2026, 3:19 p.m.