Triple

T17426967
Position Surface form Disambiguated ID Type / Status
Subject Overall E423763 entity
Predicate hasNotableBearer P458 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: [Overall, hasNotableBearer, John Overall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Overall
Context triple: [Overall, hasNotableBearer, 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. Michael Palmer
    Michael Palmer is an American poet known for his innovative, linguistically experimental work often associated with the Language poetry movement.
  • C. Michael Palmer
    Michael Palmer is a former Singaporean politician who served as Speaker of Parliament before resigning from politics in 2012.
  • D. Martin Hunter
    Martin Hunter is a film editor best known for his work on the science-fiction horror movie "Event Horizon."
  • E. Konrad Hurrell
    Konrad Hurrell is a powerful Tongan professional rugby league centre known for his explosive running and hard-hitting style in top-level competitions such as the NRL and Super League.
  • 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_69d889d88b6081908bada047f5b3ba51 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e448fcbf54819091babed0b9b05716 completed April 19, 2026, 3:16 a.m.
Created at: April 10, 2026, 5:46 a.m.