Triple

T14906141
Position Surface form Disambiguated ID Type / Status
Subject Carolynne Cunningham E360134 entity
Predicate employer P7 FINISHED
Object WingNut Films E46058 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: WingNut Films | Statement: [Carolynne Cunningham, employer, WingNut Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WingNut Films
Context triple: [Carolynne Cunningham, employer, WingNut Films]
  • A. WingNut Films chosen
    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.
  • B. Shoebox Films
    Shoebox Films is a British film production company known for producing independent and auteur-driven movies, including the 2019 thriller "Serenity."
  • C. See-Saw Films
    See-Saw Films is a British-Australian film and television production company known for acclaimed works such as the Academy Award–winning drama "The King’s Speech."
  • D. Firefly Films
    Firefly Films is a film production company known for producing the darkly comedic thriller "Come to Daddy."
  • E. Freckle Films
    Freckle Films is a film and television production company founded by actress Jessica Chastain, known for developing female-driven and socially conscious projects.
  • 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_69d827980cbc8190a0c569ae3940a1d9 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69ded60cd5588190b1efecc2b220da69 completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe72b7640c8190b463f69fb67fd30a completed May 8, 2026, 11:33 p.m.
Created at: April 10, 2026, 2:12 a.m.