Triple

T6208481
Position Surface form Disambiguated ID Type / Status
Subject John Barrymore E138806 entity
Predicate spouse P13 FINISHED
Object Elaine Barrie E469622 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: Elaine Barrie | Statement: [John Barrymore, spouse, Elaine Barrie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elaine Barrie
Context triple: [John Barrymore, spouse, Elaine Barrie]
  • A. Elaine Barrie chosen
    Elaine Barrie was an American actress best known for her brief film career in the late 1930s and her highly publicized marriage to actor John Barrymore.
  • B. Joan Barclay
    Joan Barclay was an American film actress known for her numerous roles in low-budget Westerns and B-movies during the 1930s and 1940s.
  • C. Nora Barlow
    Nora Barlow was a British botanist and editor best known as Charles Darwin’s granddaughter and for publishing and annotating key editions of his works and correspondence.
  • D. Barbara Lane
    Barbara Lane is a costume designer best known for her work on the comedy film "King Ralph."
  • E. Beryl Mercer
    Beryl Mercer was a British-born character actress known for her maternal and supporting roles in early 20th-century stage and Hollywood films.
  • 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_69c008ada364819096c9e92c74d639b5 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062870d5881909b8d4e33ff31a907 completed March 22, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723a7e26c8190bdd0dd476eac3492 completed March 28, 2026, 12:41 a.m.
Created at: March 22, 2026, 4:21 p.m.