Triple

T8785439
Position Surface form Disambiguated ID Type / Status
Subject Odds Against Tomorrow E209032 entity
Predicate productionCompany P490 FINISHED
Object HarBel Productions E574266 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: HarBel Productions | Statement: [Odds Against Tomorrow, productionCompany, HarBel Productions]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HarBel Productions
Context triple: [Odds Against Tomorrow, productionCompany, HarBel Productions]
  • A. HarBel Productions chosen
    HarBel Productions is a film production company best known for producing the 1959 post-apocalyptic science fiction drama "The World, the Flesh and the Devil."
  • B. Albert Productions
    Albert Productions is an Australian independent record label and production company best known for discovering and nurturing rock bands such as AC/DC.
  • C. Ehsugadee Productions
    Ehsugadee Productions is a television production company best known for its work on the animated DC series "Harley Quinn."
  • D. Hoya Productions
    Hoya Productions is a film production company best known for its involvement in creating the landmark horror movie "The Exorcist."
  • E. Arad Productions
    Arad Productions is a film and television production company best known for developing big-budget action and adventure projects, often based on popular video game and comic book properties.
  • 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_69ca836168108190bb43d3dc235c1f55 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f758d348190804942d985f2337c completed March 31, 2026, 11:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf51fded4c81909725807e4855c4a2 completed April 3, 2026, 5:37 a.m.
Created at: March 30, 2026, 6:42 p.m.