Triple

T18220660
Position Surface form Disambiguated ID Type / Status
Subject Jane Christie E436292 entity
Predicate productionCompanyOfSeries P14048 FINISHED
Object Hartswood Films NE NERFINISHED

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: Hartswood Films | Statement: [Jane Christie, productionCompanyOfSeries, Hartswood Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hartswood Films
Context triple: [Jane Christie, productionCompanyOfSeries, Hartswood Films]
  • A. Hartswood Films chosen
    Hartswood Films is a British television production company best known internationally for creating the hit detective series "Sherlock."
  • B. Kestrel Films
    Kestrel Films is a British film production company best known for producing Ken Loach’s acclaimed 1969 drama "Kes."
  • C. Hartbreak Films
    Hartbreak Films is a television and film production company best known for producing the popular 1990s sitcom "Sabrina the Teenage Witch."
  • D. Tartan Films
    Tartan Films was a UK-based independent film distribution company known for releasing cult, arthouse, and international cinema, particularly Asian extreme films.
  • E. White Horse Pictures
    White Horse Pictures is a film and television production company known for producing high-profile documentaries and narrative features, particularly in the music and entertainment space.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9103a8081908bbb0836fef10efd completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e47b5bfc819085c5935c08361ba9 completed April 19, 2026, 2:19 p.m.
Created at: April 10, 2026, 10:32 a.m.