Triple

T22328309
Position Surface form Disambiguated ID Type / Status
Subject William Hayley E551959 entity
Predicate name P16 FINISHED
Object William Hayley 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: William Hayley | Statement: [William Hayley, name, William Hayley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Hayley
Context triple: [William Hayley, name, William Hayley]
  • A. William Hayley chosen
    William Hayley was an 18th–19th century English poet, biographer, and literary patron best known for his friendship with William Cowper and support of artists like William Blake.
  • B. Barriemore Barlow
    Barriemore Barlow is an English drummer best known for his work with the progressive rock band Jethro Tull in the 1970s.
  • C. Thomas Bloomfield
    Thomas Bloomfield was an early settler and prominent figure in colonial New England whose legacy is commemorated in the naming of Bloomfield, Connecticut.
  • D. Charles Jennens
    Charles Jennens was an 18th-century English librettist and patron best known for compiling the biblical text for Handel’s oratorio "Messiah."
  • E. Samuel Rogers
    Samuel Rogers was an American religious educator and leader best known for establishing the Christian higher education institution now known as Messiah University.
  • 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_69e11e482f788190b78d1588fc26d606 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15769fdb48190b84e0c019ab63579 completed April 29, 2026, 12:57 a.m.
Created at: April 16, 2026, 8:42 p.m.