Triple

T6958089
Position Surface form Disambiguated ID Type / Status
Subject Jeremy Thomas E161297 entity
Predicate founded P104 FINISHED
Object HanWay Films E592108 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: HanWay Films | Statement: [Jeremy Thomas, founded, HanWay Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HanWay Films
Context triple: [Jeremy Thomas, founded, HanWay Films]
  • A. HanWay Films chosen
    HanWay Films is a British independent film production and international sales company known for backing and distributing a wide range of arthouse and prestige films.
  • B. Causeway Films
    Causeway Films is an Australian independent film production company known for critically acclaimed genre and arthouse features such as the horror film "The Babadook."
  • C. Waverly Films
    Waverly Films is a Brooklyn-based film and video production collective known for its offbeat comedy shorts, music videos, and collaborations with major studios and brands.
  • D. Highland Films
    Highland Films is a film production company best known for producing the acclaimed historical drama "A Man for All Seasons."
  • E. Hartswood Films
    Hartswood Films is a British television production company best known internationally for creating the hit detective series "Sherlock."
  • 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_69c68852a9a0819097797e31d492e273 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dad240ac8190808014a5b4920b41 completed March 27, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7588e2c5c8190a66a0205f3c2bf99 completed March 28, 2026, 4:26 a.m.
Created at: March 27, 2026, 2:29 p.m.