Triple

T2915283
Position Surface form Disambiguated ID Type / Status
Subject Ivan Atkinson E78590 entity
Predicate employer P7 FINISHED
Object Toff Guy Films E197246 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: Toff Guy Films | Statement: [Ivan Atkinson, employer, Toff Guy Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toff Guy Films
Context triple: [Ivan Atkinson, employer, Toff Guy Films]
  • A. Toff Guy Films chosen
    Toff Guy Films is a film production company associated with producing Guy Ritchie’s crime thriller "RocknRolla."
  • B. Figment Films
    Figment Films is a British film production company best known for producing the 2000 adventure drama film "The Beach."
  • C. WingNut Films
    WingNut Films is a New Zealand-based film production company founded by Peter Jackson, best known for producing large-scale fantasy and adventure films including The Lord of the Rings trilogy.
  • D. B-Reel Films
    B-Reel Films is a Swedish film and television production company known for producing documentaries and narrative features, including the climate-focused film "I Am Greta."
  • E. Diaphana Films
    Diaphana Films is a French film distribution and production company known for handling acclaimed international and auteur cinema.
  • 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_69ad8b0c2ad081909ff87050ae542bb9 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad96a1a9f8819095fe3198e9d3f6b0 completed March 8, 2026, 3:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b056249b5c8190b388088bf047616f completed March 10, 2026, 5:34 p.m.
Created at: March 8, 2026, 2:50 p.m.