Triple

T11228754
Position Surface form Disambiguated ID Type / Status
Subject Fiona Shaw E265763 entity
Predicate notableWork P4 FINISHED
Object Colette (2018 film) E803979 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: Colette (2018 film) | Statement: [Fiona Shaw, notableWork, Colette (2018 film)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Colette (2018 film)
Context triple: [Fiona Shaw, notableWork, Colette (2018 film)]
  • A. Becoming Colette chosen
    Becoming Colette is a biographical drama film about the early life and literary emergence of the French writer Colette.
  • B. Antoine and Colette
    Antoine and Colette is a 1962 short film by François Truffaut that continues the story of Antoine Doinel as a young man experiencing his first unrequited love.
  • C. Pour elle
    Pour elle is a 2008 French thriller film about a man who devises an elaborate plan to break his wrongfully imprisoned wife out of jail.
  • D. Secrets of the Flesh: A Life of Colette
    Secrets of the Flesh: A Life of Colette is a critically acclaimed biography that explores the life, work, and complex persona of the French writer Colette.
  • E. Collette
    Collette is a surname most notably associated with the character Tyra Collette from the television series "Friday Night Lights."
  • 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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e900fbcc8190a3177f8a73564433 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ad3eef408190937949e7b3bf0163 completed April 19, 2026, 10:23 a.m.
Created at: April 8, 2026, 9:30 p.m.