Triple

T22974279
Position Surface form Disambiguated ID Type / Status
Subject Mission Hill E571269 entity
Predicate productionCompany P490 FINISHED
Object Film Roman NE NERFINISHED

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: Film Roman | Statement: [Mission Hill, productionCompany, Film Roman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Film Roman
Context triple: [Mission Hill, productionCompany, Film Roman]
  • A. Film Roman chosen
    Film Roman is an American animation studio best known for producing popular television series such as The Simpsons and King of the Hill.
  • B. Movie Road
    Movie Road is a scenic dirt road winding through California’s Alabama Hills, famed for its dramatic rock formations and frequent use as a filming location for Westerns and other movies.
  • C. film Control
    Control is a 2007 biographical drama film directed by Anton Corbijn that chronicles the life and tragic death of Joy Division frontman Ian Curtis.
  • D. Film Wing
    Film Wing is a core academic division of the Film and Television Institute of India that focuses on training students in various aspects of filmmaking and cinema.
  • E. Flims
    Flims is a Swiss alpine resort village in the canton of Graubünden, known for its skiing, hiking, and scenic mountain landscapes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245b2c6548190a0e4c7f2f7df2d48 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f182350b448190a34e5fa0167fd964 completed April 29, 2026, 3:59 a.m.
Created at: April 17, 2026, 3:48 p.m.