Triple

T20913100
Position Surface form Disambiguated ID Type / Status
Subject Shelby Moore Cullom E514999 entity
Predicate givenName P17 FINISHED
Object Moore NE NERFINISHED

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: [Shelby Moore Cullom, givenName, Moore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moore
Context triple: [Shelby Moore Cullom, givenName, Moore]
  • A. Moore chosen
    Moore is a common English-language surname borne by numerous notable individuals across fields such as science, politics, entertainment, and sports.
  • B. Moore
    Moore is a character appearing in the film "Look at Me."
  • C. 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.
  • D. Moore
    Moore is a small village and civil parish in the Borough of Halton in Cheshire, England.
  • E. Moore
    Moore is a given name that served as the middle name of Fred M. Vinson, the 13th Chief Justice of the United States.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4f9d5ec8190bb2bd27350ed341c completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6ec60d3288190897a087bbdd4f005 completed April 21, 2026, 3:17 a.m.
Created at: April 16, 2026, 12:48 p.m.