Triple

T9070701
Position Surface form Disambiguated ID Type / Status
Subject The Speaker E217356 entity
Predicate compilerName P3924 FINISHED
Object William Enfield E40935 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: William Enfield | Statement: [The Speaker, compilerName, William Enfield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Enfield
Context triple: [The Speaker, compilerName, William Enfield]
  • A. William Enfield chosen
    William Enfield was an 18th-century English Unitarian minister, educator, and author best known for his influential anthology "The Speaker" and his work in promoting liberal religious and educational ideas.
  • B. Henry Bolton
    Henry Bolton is a British politician best known for serving as leader of the UK Independence Party (UKIP) in 2017–2018.
  • C. Guy Woolford
    Guy Woolford is the businessman who founded Equifax Inc., one of the major consumer credit reporting agencies in the United States.
  • D. Richard Bellingham
    Richard Bellingham was a 17th-century colonial magistrate and politician who served multiple terms as governor of the Massachusetts Bay Colony.
  • E. Alfred Darbyshire
    Alfred Darbyshire was a prominent 19th-century English architect and theatre designer known for his influential work on Victorian playhouses and public buildings.
  • 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_69ca83d5a7f48190b16c1e59bd43ede0 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc955ec5c0819089bb42448edf391e completed April 1, 2026, 3:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69d02fed4b6081908be3ee570e27abc5 completed April 3, 2026, 9:23 p.m.
Created at: March 30, 2026, 7:11 p.m.