Triple

T7216672
Position Surface form Disambiguated ID Type / Status
Subject Ludgrove School E149553 entity
Predicate notableAlumnus P304 FINISHED
Object Peter Snow E551846 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: Peter Snow | Statement: [Ludgrove School, notableAlumnus, Peter Snow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Snow
Context triple: [Ludgrove School, notableAlumnus, Peter Snow]
  • A. Peter Snow chosen
    Peter Snow is a British television and radio presenter and historian, best known for his long-running work as an election night analyst for the BBC.
  • B. Peter Terrell
    Peter Terrell is a musician best known as an early guitarist and founding member of the English post-punk band A Certain Ratio.
  • C. Peter Rinearson
    Peter Rinearson is an American journalist and author best known for co-authoring Bill Gates’s book "The Road Ahead" and for his Pulitzer Prize–winning feature writing.
  • D. Christopher Noxon
    Christopher Noxon is an American journalist and author known for his nonfiction work and for being married to television producer Jenji Kohan.
  • E. Ben Hanscom
    Ben Hanscom is one of the central members of the Losers' Club in Stephen King's horror novel "It," known for his intelligence, kindness, and pivotal role in confronting the creature terrorizing Derry.
  • 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_69c687eca814819095abb52316b1af80 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6e99000dc81908ef4b70729cc00b0 completed March 27, 2026, 8:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7bfd82c488190bfa85ffdd7f385ef completed March 28, 2026, 11:47 a.m.
Created at: March 27, 2026, 2:53 p.m.