Triple

T15496452
Position Surface form Disambiguated ID Type / Status
Subject The Craft E378829 entity
Predicate portrayedBy P1507 FINISHED
Object Robin Tunney E327180 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: Robin Tunney | Statement: [The Craft, portrayedBy, Robin Tunney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robin Tunney
Context triple: [The Craft, portrayedBy, Robin Tunney]
  • A. Robin Tunney chosen
    Robin Tunney is an American actress known for her roles in films like "The Craft" and "Empire Records" and the TV series "The Mentalist."
  • B. Emma Tennant
    Emma Tennant was a British novelist known for her experimental, often fantastical fiction and for reimagining classic literary works.
  • C. Kara Tointon
    Kara Tointon is an English actress best known for her roles in television dramas and soap operas such as EastEnders and for winning the BBC competition Strictly Come Dancing.
  • D. Kit Curran
    Kit Curran is a British television sitcom character portrayed by Denis Lawson, known for his scheming, ambitious personality in a local radio station setting.
  • E. Elisabeth Waterston
    Elisabeth Waterston is an American actress known for her work in film, television, and theater, and as a member of the Waterston acting family.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03faecd60819091eeaa56c9c8f67d completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00606823cc81908c461ef8764ebf41 completed May 10, 2026, 10:39 a.m.
Created at: April 10, 2026, 3:52 a.m.