Triple

T19074636
Position Surface form Disambiguated ID Type / Status
Subject First Westminster Company for the King James Bible E466872 entity
Predicate notableMember P10 FINISHED
Object John Overall NE NERFINISHED

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: John Overall | Statement: [First Westminster Company for the King James Bible, notableMember, John Overall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Overall
Context triple: [First Westminster Company for the King James Bible, notableMember, John Overall]
  • A. John Overall chosen
    John Overall was an English bishop and theologian who played a significant role in the early 17th century, including contributing to the translation of the King James Bible.
  • B. Martin Milmore
    Martin Milmore was a 19th-century Irish-born American sculptor best known for his prominent public monuments and memorials in Boston.
  • C. Michael Palmer
    Michael Palmer is an American poet known for his innovative, linguistically experimental work often associated with the Language poetry movement.
  • D. Michael Palmer
    Michael Palmer is a former Singaporean politician who served as Speaker of Parliament before resigning from politics in 2012.
  • E. Martin Hunter
    Martin Hunter is a film editor best known for his work on the science-fiction horror movie "Event Horizon."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd04f4488190b1121cc53ef2bfd6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e2e3c7b08190bf6448ead11ba916 completed April 20, 2026, 8:25 a.m.
Created at: April 10, 2026, 12:04 p.m.