Triple

T11171514
Position Surface form Disambiguated ID Type / Status
Subject Judge Turpin E264283 entity
Predicate desires P21639 FINISHED
Object Johanna Barker E291030 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: Johanna Barker | Statement: [Judge Turpin, desires, Johanna Barker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Johanna Barker
Context triple: [Judge Turpin, desires, Johanna Barker]
  • A. Johanna Barker chosen
    Johanna Barker is the innocent and sheltered daughter of Sweeney Todd in the 2007 film adaptation of the musical thriller, serving as a central figure in the story’s themes of lost family and doomed romance.
  • B. Maria Bicknell
    Maria Bicknell was the wife of English Romantic landscape painter John Constable and a member of a well-connected Suffolk family in early 19th-century England.
  • C. Frances Barker
    Frances Barker was the wife of William Shirley, the 18th-century British colonial governor of Massachusetts.
  • D. Mary Barstow
    Mary Barstow was the second wife of American illustrator Norman Rockwell and the mother of his three sons.
  • E. Johanna Mason
    Johanna Mason is a fierce, sharp-tongued victor from a later Hunger Games who becomes one of Katniss Everdeen’s most complex and rebellious allies in Suzanne Collins’ series.
  • 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_69d6aa9dafac8190bd90d2c74f661aa7 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e89660208190b1d9e91529f5d246 completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e483816af08190877f86ee52846581 completed April 19, 2026, 7:25 a.m.
Created at: April 8, 2026, 9:29 p.m.