Triple

T13515935
Position Surface form Disambiguated ID Type / Status
Subject Sweetie E322759 entity
Predicate producer P490 FINISHED
Object John Maynard E498661 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 Maynard | Statement: [Sweetie, producer, John Maynard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Maynard
Context triple: [Sweetie, producer, John Maynard]
  • A. John Maynard chosen
    John Maynard is a film producer known for his work on Australian cinema, including the acclaimed drama "Romulus, My Father."
  • B. John Maynard Keynes
    John Maynard Keynes was a British economist whose revolutionary ideas about government intervention in the economy profoundly shaped modern macroeconomics and policies adopted during and after the Great Depression.
  • C. Richard Keynes
    Richard Keynes was a British physiologist known for his influential research in nerve and muscle physiology and for being part of the prominent Keynes family.
  • D. John Neville Keynes
    John Neville Keynes was a British economist and logician known for his influential work on the methodology of economics and as the father of John Maynard Keynes.
  • E. Skandar Keynes
    Skandar Keynes is a British former child actor best known for playing Edmund Pevensie in the film adaptations of C.S. Lewis's "The Chronicles of Narnia."
  • 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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafa0ed508190b2855171b1945e84 completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75494642881909f33962afe26f427 completed May 3, 2026, 1:58 p.m.
Created at: April 9, 2026, 9:44 p.m.