Triple

T19386765
Position Surface form Disambiguated ID Type / Status
Subject Women Talking E484955 entity
Predicate leadActor P1507 FINISHED
Object Jessie Buckley 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: Jessie Buckley | Statement: [Women Talking, leadActor, Jessie Buckley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jessie Buckley
Context triple: [Women Talking, leadActor, Jessie Buckley]
  • A. Jessie Buckley chosen
    Jessie Buckley is an Irish actress and singer known for her acclaimed performances in film, television, and theatre, including roles in works like "Wild Rose," "Chernobyl," and "The Lost Daughter."
  • B. Daisy Edgar-Jones
    Daisy Edgar-Jones is a British actress best known for her breakout role in the television adaptation of Sally Rooney’s "Normal People."
  • C. Lucy Boynton
    Lucy Boynton is a British-American actress known for her roles in films such as "Bohemian Rhapsody" and "Sing Street," as well as various television dramas.
  • D. Florence Pugh
    Florence Pugh is an English actress acclaimed for her emotionally intense and versatile performances in films such as "Lady Macbeth," "Midsommar," and "Little Women."
  • E. Danielle Macdonald
    Danielle Macdonald is an Australian actress known for her breakout roles in films such as "Patti Cake$," "Dumplin'," and the drama "Skin."
  • 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_69d8e8d460d88190abf0591c5c9d2b0c completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e61b40d1148190b4fcd9ad56aa6910 completed April 20, 2026, 12:25 p.m.
Created at: April 10, 2026, 1:36 p.m.