Triple

T10284883
Position Surface form Disambiguated ID Type / Status
Subject Love Letters E241201 entity
Predicate castMember P1668 FINISHED
Object Gladys Cooper E321398 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: Gladys Cooper | Statement: [Love Letters, castMember, Gladys Cooper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gladys Cooper
Context triple: [Love Letters, castMember, Gladys Cooper]
  • A. Gladys Cooper chosen
    Gladys Cooper was a distinguished English stage and film actress known for her poised, often austere character roles in classic Hollywood and British cinema.
  • B. Gladys McConnell
    Gladys McConnell was an American film actress of the silent and early sound era, known for her roles in Westerns and adventure serials.
  • C. Gladys George
    Gladys George was an American stage and film actress known for her character roles in classic Hollywood cinema, including a notable appearance in the 1941 film "The Maltese Falcon."
  • D. Gladys Murray
    Gladys Murray was the wife of Sir Malcolm Murray, a British baronet and military officer.
  • E. Gladys Joyce Walsh
    Gladys Joyce Walsh was the wife of American film and television actor Grant Withers.
  • 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_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2b737788190bfadd0d48ad38f5b completed April 7, 2026, 9:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69f60a4d8a3481909c7f8a529d0051c2 completed May 2, 2026, 2:29 p.m.
Created at: April 6, 2026, 11:40 a.m.