Triple

T25877379
Position Surface form Disambiguated ID Type / Status
Subject Fur: An Imaginary Portrait of Diane Arbus (screenplay) E651941 entity
Predicate isBiographical P75959 FINISHED
Object yes LITERAL 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: yes | Statement: [Fur: An Imaginary Portrait of Diane Arbus (screenplay), isBiographical, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isBiographical
Context triple: [Fur: An Imaginary Portrait of Diane Arbus (screenplay), isBiographical, yes]
  • A. hasBiographicalStyle
    Indicates that something is characterized by or presented in a biographical manner or style.
  • B. hasBiographicalTheme chosen
    Indicates that something (such as a work, text, or content) centers on or significantly involves biographical subject matter, such as a person’s life, experiences, or personal history.
  • C. hasBiographicalPerspective
    Indicates that one entity presents, analyzes, or frames another entity from a biographical point of view, focusing on life history or personal background.
  • D. hasBiographicalWork
    Indicates that there exists a biographical work (such as a book, article, or film) whose subject is the given entity.
  • E. usesBiographicalStructure
    Indicates that one entity employs or is organized according to the biographical structure of another entity (e.g., a work structured around a person’s life story).
  • F. None of above.

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_69e7ab3ad9d88190841ddcb93ab02e96 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f602e179ec8190aa45a4614673f7fc completed May 2, 2026, 1:57 p.m.
PD Predicate disambiguation batch_69f4a0fed15881909b789251fe5d8d45 completed May 1, 2026, 12:47 p.m.
Created at: April 22, 2026, 8:13 a.m.