Triple

T22890805
Position Surface form Disambiguated ID Type / Status
Subject The Shadow Line E568034 entity
Predicate productionCompany P490 FINISHED
Object Company Pictures E345233 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: Company Pictures | Statement: [The Shadow Line, productionCompany, Company Pictures]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Company Pictures
Context triple: [The Shadow Line, productionCompany, Company Pictures]
  • A. Company Pictures chosen
    Company Pictures is a British television and film production company known for creating acclaimed dramas and miniseries.
  • B. Company
    "Company" is a 2011 filmed stage production of the Stephen Sondheim musical, notable for its concert-style staging and direction by Sam Mendes.
  • C. Company
    Company is a short prose work by Samuel Beckett, notable for its minimalist style and introspective exploration of memory and identity.
  • D. Company Films
    Company Films is a film production company known for producing the science fiction drama movie "Passengers."
  • E. Company Productions
    Company Productions is a film production company best known for producing the acclaimed Tamil movie "Subramaniapuram."
  • 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_69e2458c23ec81908fa2570692c6614f completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f17fc59e108190a22f90c2439830fb completed April 29, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bb9c03a2481909a2c41b6cdab0363 completed May 19, 2026, 1:15 a.m.
Created at: April 17, 2026, 3:40 p.m.