Triple

T1072821
Position Surface form Disambiguated ID Type / Status
Subject John Grandy E23367 entity
Predicate name P16 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: [John Grandy, name, John Grandy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Grandy
Context triple: [John Grandy, name, 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. 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."
  • D. Christopher Benstead
    Christopher Benstead is a British composer and music editor known for his film scores and sound work on major movies, including collaborations with director Guy Ritchie.
  • E. Alan Di Fiore
    Alan Di Fiore is a Canadian screenwriter and producer known for his work in film and television, including co-writing the thriller "Money Monster."
  • 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_69a493ee1f908190992b5f0d1b04459b completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b92afad88190b7705923f71fc760 completed March 1, 2026, 10:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69adeab2f888819093d2b3e49b105802 completed March 8, 2026, 9:31 p.m.
Created at: March 1, 2026, 7:42 p.m.