Triple

T1249445
Position Surface form Disambiguated ID Type / Status
Subject Gary Moore E26840 entity
Predicate familyName P18 FINISHED
Object Moore E32614 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: Moore | Statement: [Gary Moore, familyName, Moore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moore
Context triple: [Gary Moore, familyName, Moore]
  • A. Moore
    Moore is the middle name of Edward M. Kennedy, the long-serving U.S. senator from Massachusetts and prominent member of the Kennedy political family.
  • B. Moore chosen
    Moore is a common English-language surname borne by numerous notable individuals across fields such as science, politics, entertainment, and sports.
  • C. Mott
    Mott is a surname most notably associated with Sir Nevill Mott, the Nobel Prize–winning British physicist recognized for his work on the electronic structure of magnetic and disordered systems.
  • D. Moser
    Moser is a Norwegian surname most prominently associated with Nobel Prize–winning neuroscientists May-Britt and Edvard Moser.
  • E. Gould
    Gould is a surname most notably associated with Jay Gould, the influential 19th-century American railroad magnate and financier.
  • 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_69a49487a9c48190ba9b05348fd1b53f completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4bf83b32c81908648e5748b897247 completed March 1, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac93c420f08190a6eda4d0aa498a3a completed March 7, 2026, 9:08 p.m.
Created at: March 1, 2026, 7:47 p.m.