Triple

T14931699
Position Surface form Disambiguated ID Type / Status
Subject Henry Willis E372280 entity
Predicate name P16 FINISHED
Object Henry Willis E372280 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: Henry Willis | Statement: [Henry Willis, name, Henry Willis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henry Willis
Context triple: [Henry Willis, name, Henry Willis]
  • A. Henry Willis chosen
    Henry Willis was a prominent 19th-century English organ builder renowned for crafting some of the most celebrated pipe organs in Britain.
  • B. Henry Willis
    Henry Willis was a businessman best known for establishing Willis Group Holdings, a major global insurance brokerage and risk management firm.
  • C. Edward Willett
    Edward Willett is a Canadian science fiction and fantasy author known for novels such as "Marseguro" and for hosting "The Worldshapers" podcast.
  • D. John Willett
    John Willett is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Willett.
  • E. George Francis Willis
    George Francis Willis was an American real estate developer and entrepreneur best known for designing and establishing the planned community of Avondale Estates, Georgia, in the early 20th century.
  • 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_69d85cc9da0c81908d583ca3f63a3908 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded64550dc8190ba44120df00ba498 completed April 15, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe72c86b5c81909e601a3fc78276bd completed May 8, 2026, 11:33 p.m.
Created at: April 10, 2026, 2:36 a.m.