Triple

T5752842
Position Surface form Disambiguated ID Type / Status
Subject Hannah Takes the Stairs E126891 entity
Predicate distributor P1951 FINISHED
Object IFC Films E242675 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: IFC Films | Statement: [Hannah Takes the Stairs, distributor, IFC Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IFC Films
Context triple: [Hannah Takes the Stairs, distributor, IFC Films]
  • A. IFC Films chosen
    IFC Films is an American film distribution company known for releasing independent, foreign, and art-house movies in theaters and on video-on-demand platforms.
  • B. IAC Films
    IAC Films is an American film and television production company known for backing a range of acclaimed independent and auteur-driven projects.
  • C. Echo Films
    Echo Films is a film and television production company co-founded by Jennifer Aniston, known for producing character-driven projects including the series "The Morning Show."
  • D. Vistar Films
    Vistar Films is a film production company best known for its involvement in the making of the 1985 horror-comedy classic "Fright Night."
  • E. Ventana Films
    Ventana Films is a film production company known for its work on Guillermo del Toro’s acclaimed 1993 horror-fantasy film "Cronos."
  • 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_69c00832aedc81909899801b141fa3b4 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c029014588819094a2a0f6f9b66bab completed March 22, 2026, 5:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69c097ffbf848190ba20a72c676d2c8e completed March 23, 2026, 1:31 a.m.
Created at: March 22, 2026, 3:48 p.m.