Triple

T9044124
Position Surface form Disambiguated ID Type / Status
Subject Alma Cogan E216712 entity
Predicate stageName P7872 FINISHED
Object Alma Cogan E216712 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: Alma Cogan | Statement: [Alma Cogan, stageName, Alma Cogan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alma Cogan
Context triple: [Alma Cogan, stageName, Alma Cogan]
  • A. Alma Cogan chosen
    Alma Cogan was a popular mid-20th-century English singer known for her distinctive laugh in her vocals and a string of hit recordings in the 1950s and early 1960s.
  • B. Mabel Mercer
    Mabel Mercer was a renowned British-born cabaret singer celebrated for her subtle, conversational style and influential interpretations of the Great American Songbook.
  • C. Ruth Cambridge
    Ruth Cambridge was the first wife of American actor and dancer Buddy Ebsen, with whom she shared a vaudeville dance partnership before their divorce.
  • D. Margaret Whiting
    Margaret Whiting was an American traditional pop and country music singer prominent in the 1940s and 1950s, known for her smooth vocal style and numerous hit recordings.
  • E. Frances Dee
    Frances Dee was an American film actress of the 1930s and 1940s, known for her poised, refined screen presence in dramas and literary adaptations.
  • 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_69ca83d22d488190adbce5e020e9cd1d completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc6b137cec8190bd1b812c10d9542a completed April 1, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfeba4c5f48190b7fc85f2137dd93e completed April 3, 2026, 4:32 p.m.
Created at: March 30, 2026, 7:09 p.m.