Triple

T6621747
Position Surface form Disambiguated ID Type / Status
Subject Savoy Records E149689 entity
Predicate recordedArtist P1363 FINISHED
Object James Cleveland E586406 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: James Cleveland | Statement: [Savoy Records, recordedArtist, James Cleveland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: James Cleveland
Context triple: [Savoy Records, recordedArtist, James Cleveland]
  • A. James Cleveland chosen
    James Cleveland was an influential American gospel singer, composer, and choir leader often called the “King of Gospel Music” for his pioneering role in modern gospel.
  • B. Rance Cleaveland
    Rance Cleaveland is a computer scientist known for his work in formal methods and model checking, particularly in the verification of concurrent and distributed systems.
  • C. John Cleveland
    John Cleveland was a 17th-century English poet and Royalist satirist known for his metaphysical style and politically charged verse during the English Civil War.
  • D. George James
    George James is a pseudonym used by American writer Johnston McCulley, best known as the creator of the masked vigilante character Zorro.
  • E. Hubert Jude Brown
    Hubert Jude Brown is an American former NBA and ABA head coach and longtime basketball television analyst known for his detailed, instructional commentary.
  • 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_69c687ed8a9c81908bb671717cb192ef completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af7ccaa481908b383b4fd671fa78 completed March 27, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e448b00081908b336a2bd7fb3820 completed March 27, 2026, 8:10 p.m.
Created at: March 27, 2026, 1:58 p.m.