Triple

T12657345
Position Surface form Disambiguated ID Type / Status
Subject The Power of One E302318 entity
Predicate productionCompany P490 FINISHED
Object Alcor Films E542157 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: Alcor Films | Statement: [The Power of One, productionCompany, Alcor Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alcor Films
Context triple: [The Power of One, productionCompany, Alcor Films]
  • A. Alcor Films chosen
    Alcor Films is a film production company best known for producing the 1994 legal thriller "The Client."
  • B. Arclight Films
    Arclight Films is an international film production and sales company known for financing and distributing independent and genre films worldwide.
  • C. Rastar Films
    Rastar Films was an American film production company known for producing a range of notable Hollywood films from the 1960s through the 1980s.
  • D. Aquarius Films
    Aquarius Films is an Australian film and television production company known for creating distinctive, character-driven screen content for both local and international audiences.
  • E. Pantelion Films
    Pantelion Films is a film production and distribution company known for specializing in Latino-focused and Spanish-language movies, formed as a joint venture between Lionsgate and Televisa.
  • 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_69d7bded71a88190bb76e2413af9ea66 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961636db8819099c438b24bcfd866 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f668832c7081909eb75429efba493e completed May 2, 2026, 9:11 p.m.
Created at: April 9, 2026, 5:18 p.m.