Triple

T10888791
Position Surface form Disambiguated ID Type / Status
Subject Ethel Barrymore E257120 entity
Predicate familyName P18 FINISHED
Object Barrymore E575300 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: Barrymore | Statement: [Ethel Barrymore, familyName, Barrymore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barrymore
Context triple: [Ethel Barrymore, familyName, Barrymore]
  • A. Barrymore chosen
    Barrymore is a prominent American acting family name associated with several generations of influential stage and film performers.
  • B. John Drew Barrymore
    John Drew Barrymore was an American film and television actor from the famous Barrymore acting family and the father of actress Drew Barrymore.
  • C. Frankie Barrymore Kopelman
    Frankie Barrymore Kopelman is the younger daughter of American actress and talk show host Drew Barrymore and her ex-husband Will Kopelman.
  • D. Jaid Barrymore
    Jaid Barrymore is an American actress and talent manager best known as the mother of actress Drew Barrymore and a member of the Barrymore acting family.
  • E. Diana Barrymore
    Diana Barrymore was an American stage and film actress from the famous Barrymore acting family, whose turbulent life of addiction and scandal became the subject of her memoir "Too Much, Too Soon."
  • 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_69d6aa848804819081b2713ca0bedf06 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d75202b7248190adeb5780fc5b9199 completed April 9, 2026, 7:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69e154f288b48190b0e840178d1071af completed April 16, 2026, 9:30 p.m.
Created at: April 8, 2026, 9:21 p.m.