Triple

T7727220
Position Surface form Disambiguated ID Type / Status
Subject Henry Willis & Sons E175160 entity
Predicate founder P104 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 & Sons, founder, Henry Willis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Henry Willis
Context triple: [Henry Willis & Sons, founder, Henry Willis]
  • A. Henry Willis
    Henry Willis was a businessman best known for establishing Willis Group Holdings, a major global insurance brokerage and risk management firm.
  • B. 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.
  • C. Henry Robinson
    Henry Robinson was an English clergyman and theologian active in early 17th-century religious affairs, notably involved in high-level ecclesiastical discussions under James I.
  • D. Henry Smith
    Henry Smith was an early Texas political leader who served as the first American-born governor during the Texas Revolution.
  • E. Henry Smith
    Henry Smith was a wealthy 17th-century English merchant and philanthropist whose charitable endowments helped establish institutions such as Reigate Grammar School.
  • 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_69c6995d541c81909eaa646b1a8369a9 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c70314abb88190a7eaa519bd7398c9 completed March 27, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8be2de08881909715d9164b743aae completed March 29, 2026, 5:52 a.m.
Created at: March 27, 2026, 4:06 p.m.