Triple

T11036754
Position Surface form Disambiguated ID Type / Status
Subject Waking the Dead E260904 entity
Predicate executiveProducer P7225 FINISHED
Object Barbara Machin E1001775 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: Barbara Machin | Statement: [Waking the Dead, executiveProducer, Barbara Machin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barbara Machin
Context triple: [Waking the Dead, executiveProducer, Barbara Machin]
  • A. Barbara Machin chosen
    Barbara Machin is a British television writer and producer best known for creating the crime drama series "Waking the Dead."
  • B. Barbara Dickson
    Barbara Dickson is a Scottish singer and actress known for her folk-inspired pop music and roles in musical theatre, including the hit musical "Blood Brothers."
  • C. Barbara Trentham
    Barbara Trentham was an American model and actress who later became a painter, known in part for her marriage to British comedian John Cleese.
  • D. Barbara Rooney
    Barbara Rooney, born Barbara Ann Thomason, was an American model and actress best known as the fifth wife of actor Mickey Rooney and for her tragic death in 1966.
  • E. Annette Badland
    Annette Badland is a British character actress known for her distinctive presence in film, television, and radio, with roles ranging from gritty dramas to popular series like "Doctor Who" and "Outlander."
  • 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_69d6aa979bdc8190bf0e79104cc098c1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797e9e3fc8190802195ac9fcb8e28 completed April 9, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68e99c2608190b923ca8a9178fea2 completed May 2, 2026, 11:54 p.m.
Created at: April 8, 2026, 9:25 p.m.