Triple

T17964872
Position Surface form Disambiguated ID Type / Status
Subject Tessa Ross E449176 entity
Predicate employer P7 FINISHED
Object Film4 Productions 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: Film4 Productions | Statement: [Tessa Ross, employer, Film4 Productions]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Film4 Productions
Context triple: [Tessa Ross, employer, Film4 Productions]
  • A. Film4 Productions chosen
    Film4 Productions is a British film production company known for backing acclaimed independent and award-winning films, including "Slumdog Millionaire."
  • B. Feature Productions
    Feature Productions was a film production company active during the silent film era, known for producing movies such as "The Son of the Sheik."
  • C. Integral Films
    Integral Films is a film production company known for working on projects such as David Cronenberg’s satirical drama "Maps to the Stars."
  • D. FX Productions
    FX Productions is a television production company best known for creating and producing acclaimed FX Network series such as Sons of Anarchy and other high-profile cable dramas and comedies.
  • E. Parklane Pictures
    Parklane Pictures was a mid-20th-century American film production company best known for producing the classic 1955 film noir "Kiss Me Deadly."
  • 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_69d8b9f9927c8190a006110c8b996e61 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4b136e4088190ac97fd92dc84a4b9 completed April 19, 2026, 10:40 a.m.
Created at: April 10, 2026, 10:22 a.m.