Triple

T5546064
Position Surface form Disambiguated ID Type / Status
Subject Mike Moore E145410 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: [Mike Moore, familyName, Moore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moore
Context triple: [Mike 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. Moore
    Moore is a small village and civil parish in the Borough of Halton in Cheshire, England.
  • D. Moorehead
    Moorehead is the surname of American actress Agnes Moorehead, renowned for her work in film, radio, and television, including her iconic role as Endora on the TV series "Bewitched."
  • E. 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.
  • 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_69c008fb879c81909f5bfa56fadc1d46 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01fcc75448190a4c47ded65591345 completed March 22, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c02826d84c8190a745e891ac2cccb8 completed March 22, 2026, 5:34 p.m.
Created at: March 22, 2026, 3:35 p.m.