Triple

T11037004
Position Surface form Disambiguated ID Type / Status
Subject Heroes E260911 entity
Predicate productionCompany P490 FINISHED
Object Tailwind Productions E825097 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: Tailwind Productions | Statement: [Heroes, productionCompany, Tailwind Productions]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tailwind Productions
Context triple: [Heroes, productionCompany, Tailwind Productions]
  • A. Tailwind Productions chosen
    Tailwind Productions is a film and television production company known for developing and producing screen content, including the movie "Touch."
  • B. Tandem Productions
    Tandem Productions was a television production company best known for creating influential American sitcoms in the 1970s, including the groundbreaking series "All in the Family."
  • C. Ostar Productions
    Ostar Productions is a television production company best known for producing the crime drama series "Rizzoli & Isles."
  • D. Peregrine Productions
    Peregrine Productions is a film production company best known for its involvement in creating Stanley Kubrick’s 1980 horror classic "The Shining."
  • E. Pastel Productions
    Pastel Productions is a film and television production company known for producing the acclaimed coming-of-age drama "Moonlight."
  • 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_69d6aa979bdc8190bf0e79104cc098c1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797e9e3fc8190802195ac9fcb8e28 completed April 9, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3a9c669608190af97c461beaf9f31 completed April 18, 2026, 3:56 p.m.
Created at: April 8, 2026, 9:25 p.m.