Triple

T12716481
Position Surface form Disambiguated ID Type / Status
Subject Pelham Humfrey E303853 entity
Predicate influenced P9 FINISHED
Object John Blow E252630 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 Blow | Statement: [Pelham Humfrey, influenced, John Blow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Blow
Context triple: [Pelham Humfrey, influenced, John Blow]
  • A. John Blow chosen
    John Blow was a prominent 17th-century English Baroque composer and organist, best known as a teacher of Henry Purcell and a leading figure in the Chapel Royal.
  • B. Alexander Osborne
    Alexander Osborne was the husband of Sarah Osborne, one of the first women accused of witchcraft during the Salem witch trials in colonial Massachusetts.
  • C. Thomas Weelkes
    Thomas Weelkes was an English Renaissance composer and organist best known for his expressive madrigals and sacred choral music.
  • D. Orlando Gibbons
    Orlando Gibbons was a prominent late Tudor and early Stuart English composer, organist, and virginalist known for his sacred choral music and keyboard works.
  • E. James Dowland
    James Dowland is a charming but emotionally conflicted businessman whose complicated relationships and personal growth form a central storyline in the British period drama series "Lark Rise to Candleford."
  • 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_69d7bdf084148190ab9d513dc0735af4 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9620bd6148190a2f50067a4c18c14 completed April 10, 2026, 8:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f671bcc10481909f150989f9545752 completed May 2, 2026, 9:50 p.m.
Created at: April 9, 2026, 5:23 p.m.