Triple

T9137422
Position Surface form Disambiguated ID Type / Status
Subject Shallow Grave E219236 entity
Predicate productionCompany P490 FINISHED
Object Figment Films E736153 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: Figment Films | Statement: [Shallow Grave, productionCompany, Figment Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Figment Films
Context triple: [Shallow Grave, productionCompany, Figment Films]
  • A. Figment Films chosen
    Figment Films is a film production company known for producing the 1997 romantic black comedy "A Life Less Ordinary," directed by Danny Boyle.
  • B. Figment Films
    Figment Films is a British film production company best known for producing the 2000 adventure drama film "The Beach."
  • C. Diaphana Films
    Diaphana Films is a French film distribution and production company known for handling acclaimed international and auteur cinema.
  • D. Elixir Films
    Elixir Films is a film production company known for producing the 2010 drama film "The Way," directed by Emilio Estevez and starring Martin Sheen.
  • E. Freckle Films
    Freckle Films is a film and television production company founded by actress Jessica Chastain, known for developing female-driven and socially conscious projects.
  • 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_69ca83e012288190a5771058adbaabd2 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8e1dc208190aafe501374ffe65c completed April 1, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d047fb3c148190b2e1a19d4f76b550 completed April 3, 2026, 11:06 p.m.
Created at: March 30, 2026, 7:19 p.m.