Triple

T5328736
Position Surface form Disambiguated ID Type / Status
Subject Grandy E123250 entity
Predicate hasNotableBearer P458 FINISHED
Object John Grandy E101400 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 Grandy | Statement: [Grandy, hasNotableBearer, John Grandy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Grandy
Context triple: [Grandy, hasNotableBearer, John Grandy]
  • A. John Grandy chosen
    John Grandy was a senior Royal Air Force officer who rose to become a leading commander of British fighter forces during and after the Second World War.
  • B. Michael Graydon
    Michael Graydon is a retired senior Royal Air Force officer who served as a leading commander of British fighter aviation during the late 20th century.
  • C. John Todd
    John Todd was a British mathematician known for his work in numerical analysis and for helping to establish the field of computational mathematics.
  • D. John Todd
    John Todd is a prominent member of the Todd family, recognized for his significant role and influence within this historically notable lineage.
  • E. Frank Reynolds
    Frank Reynolds is a scheming, morally bankrupt businessman and the depraved, chaos-loving father figure of the gang in the sitcom "It's Always Sunny in Philadelphia."
  • 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_69bd46477f9081909d242a327d749466 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd8593bd6c8190b2054e548ddf2458 completed March 20, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf18b00f9c8190b3882f6112546b4a completed March 21, 2026, 10:16 p.m.
Created at: March 20, 2026, 2 p.m.