Triple

T4822734
Position Surface form Disambiguated ID Type / Status
Subject Hall’s Croft E107746 entity
Predicate formerResident P1092 FINISHED
Object John Hall E475447 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: John Hall | Statement: [Hall’s Croft, formerResident, John Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Hall
Context triple: [Hall’s Croft, formerResident, John Hall]
  • A. John Hall chosen
    John Hall was an English physician best known as the son-in-law of William Shakespeare and the former resident of Hall’s Croft in Stratford-upon-Avon.
  • B. Hugh McDowell
    Hugh McDowell was an English cellist best known for his dynamic performances and recordings with the rock band Electric Light Orchestra during the 1970s.
  • C. John Palmer
    John Palmer is a film industry professional known for his work as an assistant director, including on the movie "Empire."
  • D. John Bacon
    John Bacon is a name shared by several notable individuals, including historical figures in politics, religion, and the arts.
  • E. Charles Wood
    Charles Wood was a British playwright and screenwriter known for his sharp, satirical writing and influential work in film, television, and theatre.
  • 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_69bd43f9efa081908314cb3e94fa1695 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6caa95ec8190bea525dbf3a00477 completed March 20, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69be67ce5808819093004d4ed42ed211 completed March 21, 2026, 9:41 a.m.
Created at: March 20, 2026, 1:24 p.m.