Triple

T11171339
Position Surface form Disambiguated ID Type / Status
Subject A Little Chaos E264279 entity
Predicate producer P490 FINISHED
Object Gail Egan E860665 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: Gail Egan | Statement: [A Little Chaos, producer, Gail Egan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gail Egan
Context triple: [A Little Chaos, producer, Gail Egan]
  • A. Gail Egan chosen
    Gail Egan is a British film producer known for her work on acclaimed independent and literary adaptations, including "The Constant Gardener" and "The Boy Who Harnessed the Wind."
  • B. Lauren Groff
    Lauren Groff is an acclaimed contemporary American novelist and short story writer known for works such as "Fates and Furies," "Matrix," and "Florida."
  • C. Sally Rooney
    Sally Rooney is an acclaimed Irish novelist and screenwriter known for contemporary works such as "Normal People" and "Conversations with Friends," which explore millennial relationships and class dynamics.
  • D. Vendela Vida
    Vendela Vida is an American novelist, editor, and screenwriter known for her literary fiction and for co-founding the publishing house McSweeney’s.
  • E. Sara Quin
    Sara Quin is a Canadian musician best known as one half of the indie pop duo Tegan and Sara.
  • 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_69d6aa9dafac8190bd90d2c74f661aa7 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e89660208190b1d9e91529f5d246 completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e463b155a08190b361b38a39d25b1f completed April 19, 2026, 5:10 a.m.
Created at: April 8, 2026, 9:29 p.m.