Triple

T23515667
Position Surface form Disambiguated ID Type / Status
Subject Nicholas Chartier E574356 entity
Predicate coFounderOf P104 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: [Nicholas Chartier, coFounderOf, Voltage Pictures]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Voltage Pictures
Context triple: [Nicholas Chartier, coFounderOf, 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_69e245bb3dcc8190ba9a2b35972b58d0 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1aa81ab4c8190b85c8f80754020ea completed April 29, 2026, 6:51 a.m.
Created at: April 17, 2026, 6:08 p.m.