Triple

T10488541
Position Surface form Disambiguated ID Type / Status
Subject Trainspotting (1996 film) E247352 entity
Predicate productionCompany P490 FINISHED
Object Figment Films
Figment Films is a British film production company best known for producing the influential 1996 drama "Trainspotting."
E867017 NE FINISHED

How this triple was built (4 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: [Trainspotting (1996 film), productionCompany, Figment Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Figment Films
Context triple: [Trainspotting (1996 film), productionCompany, Figment Films]
  • A. Figment Films
    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. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Figment Films
Triple: [Trainspotting (1996 film), productionCompany, Figment Films]
Generated description
Figment Films is a British film production company best known for producing the influential 1996 drama "Trainspotting."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Figment Films
Target entity description: Figment Films is a British film production company best known for producing the influential 1996 drama "Trainspotting."
  • A. Figment Films
    Figment Films is a British film production company best known for producing the 2000 adventure drama film "The Beach."
  • B. Figment Films
    Figment Films is a film production company known for producing the 1997 romantic black comedy "A Life Less Ordinary," directed by Danny Boyle.
  • 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. chosen

Provenance (5 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5096b609c81909e23fd8fb6426f4a completed April 7, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dc9792308190b09d6aaed63dd418 completed April 10, 2026, 11:18 a.m.
NEDg Description generation batch_69d8e8c81bdc8190b6b6dfe00025b514 completed April 10, 2026, 12:10 p.m.
NED2 Entity disambiguation (via description) batch_69d901e1ecf88190acd24a0e20462cb9 completed April 10, 2026, 1:57 p.m.
Created at: April 6, 2026, 12:23 p.m.