Triple

T12213743
Position Surface form Disambiguated ID Type / Status
Subject Johanna Barker E291030 entity
Predicate wardOf P21208 FINISHED
Object Judge Turpin E264283 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: Judge Turpin | Statement: [Johanna Barker, wardOf, Judge Turpin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Judge Turpin
Context triple: [Johanna Barker, wardOf, Judge Turpin]
  • A. Judge Turpin chosen
    Judge Turpin is the corrupt, tyrannical magistrate and primary antagonist in the musical "Sweeney Todd: The Demon Barber of Fleet Street."
  • B. Will Turpin
    Will Turpin is an American musician best known as the longtime bassist for the rock band Collective Soul.
  • C. Baron Weatherill
    Baron Weatherill was a British Conservative politician who served as Speaker of the House of Commons from 1983 to 1992.
  • D. Judge George Jeffreys
    Judge George Jeffreys was a 17th-century English jurist infamous for his brutal conduct during the "Bloody Assizes" following the Monmouth Rebellion.
  • E. Arthur Thistlewood
    Arthur Thistlewood was a radical English conspirator best known for leading the 1820 Cato Street plot to assassinate British government ministers.
  • 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_69d6ab65923081909acfc61b7a612233 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c931cec819083ca19be06a33e1c completed April 10, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e5882408190b4853f3a11c249c2 completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:51 p.m.