Triple

T10355532
Position Surface form Disambiguated ID Type / Status
Subject The Pledge E243989 entity
Predicate productionCompany P490 FINISHED
Object Franchise Pictures E161324 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: Franchise Pictures | Statement: [The Pledge, productionCompany, Franchise Pictures]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Franchise Pictures
Context triple: [The Pledge, productionCompany, Franchise Pictures]
  • A. Franchise Pictures chosen
    Franchise Pictures was an independent American film production company known for financing and producing a range of mid-budget genre films in the late 1990s and early 2000s.
  • B. Impact Pictures
    Impact Pictures is a film production company best known for producing action and science-fiction movies, including entries in the Resident Evil franchise.
  • C. Hollywood Pictures
    Hollywood Pictures was a film production label of The Walt Disney Company that focused on releasing more mature and genre-oriented movies during the 1990s.
  • D. Arclight Films
    Arclight Films is an international film production and sales company known for financing and distributing independent and genre films worldwide.
  • E. Gambit Pictures
    Gambit Pictures is a film production company known for working on the science-fiction romantic thriller "The Adjustment Bureau."
  • 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e953d4888190b7ca0ac932349dbf completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d750a9b4188190a8ecdd9e4d97570b completed April 9, 2026, 7:09 a.m.
Created at: April 6, 2026, 11:58 a.m.