Triple

T22596103
Position Surface form Disambiguated ID Type / Status
Subject Fathers and Daughters E574684 entity
Predicate distributedBy P1951 FINISHED
Object Voltage Pictures NE NERFINISHED

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: Voltage Pictures | Statement: [Fathers and Daughters, distributedBy, Voltage Pictures]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Voltage Pictures
Context triple: [Fathers and Daughters, distributedBy, Voltage Pictures]
  • A. Voltage Pictures chosen
    Voltage Pictures is an American independent film production and financing company known for backing a wide range of commercially successful and critically acclaimed movies.
  • B. Gravity Pictures
    Gravity Pictures is a Chinese film production company known for co-producing major international releases, including the sci-fi action thriller "The Meg."
  • C. Watermark Pictures
    Watermark Pictures is a film production company best known for producing the romantic comedy-drama "(500) Days of Summer)."
  • D. Phoenix Pictures
    Phoenix Pictures is an American film production company known for producing critically acclaimed movies such as "Black Swan" and "The Thin Red Line."
  • E. Imagen Foundation
    Imagen Foundation is a nonprofit organization dedicated to promoting positive and accurate portrayals of Latinos in the entertainment industry, best known for organizing the annual Imagen Awards.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245bc11308190b69d794d5d1e0bb6 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f16268cb54819084a0f27ec0473f35 completed April 29, 2026, 1:44 a.m.
Created at: April 17, 2026, 2:50 p.m.