Triple

T15632767
Position Surface form Disambiguated ID Type / Status
Subject Love/Hate E375858 entity
Predicate producedBy P490 FINISHED
Object Octagon Films E1069540 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: Octagon Films | Statement: [Love/Hate, producedBy, Octagon Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Octagon Films
Context triple: [Love/Hate, producedBy, Octagon Films]
  • A. Octagon Films chosen
    Octagon Films is an Irish film and television production company known for working on international projects such as the historical fantasy series "Camelot."
  • B. Ombra Films
    Ombra Films is a film production company known for working on action and thriller movies, including the crime thriller "Run All Night."
  • C. Overture Films
    Overture Films was an American independent film production and distribution company active in the late 2000s, known for releasing a range of mid-budget and specialty films.
  • D. Axon Films
    Axon Films is a film production company known for producing the movie "Milk."
  • E. Radian Films
    Radian Films is a film production company known for producing the documentary feature "Lenny Cooke," which chronicles the rise and fall of a once-promising high school basketball star.
  • 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_69d85cd035a48190b73d5579ab73969a completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04eb7338881909f3c430bb73f91d1 completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff5f472b648190b7cd532a1b16373e completed May 9, 2026, 4:22 p.m.
Created at: April 10, 2026, 4:14 a.m.