Triple

T14323862
Position Surface form Disambiguated ID Type / Status
Subject Bass E355164 entity
Predicate hasNotableBearer P458 FINISHED
Object John Bass E860388 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 Bass | Statement: [Bass, hasNotableBearer, John Bass]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Bass
Context triple: [Bass, hasNotableBearer, John Bass]
  • A. John Bass chosen
    John Bass is an entrepreneur and founder best known for establishing The Bass.
  • B. Tom Cox
    Tom Cox is a television producer best known for his executive production work on the Canadian family drama series "Heartland."
  • C. Bob Bass
    Bob Bass was an American professional basketball coach and executive best known for his influential roles in the ABA and NBA, including multiple Coach of the Year honors and front-office success.
  • D. Joseph L. Roberts Jr.
    Joseph L. Roberts Jr. was a prominent American pastor and theologian best known for his long tenure leading Atlanta’s historic Ebenezer Baptist Church after the era of Martin Luther King Jr.
  • E. Joseph Cottle
    Joseph Cottle was an English publisher and bookseller in Bristol best known for supporting and publishing early works by Romantic poets such as William Wordsworth and Samuel Taylor Coleridge.
  • 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_69d8278fa2108190bc0d0e7939c1eb03 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de883d1de88190a1e2bf2f1b692197 completed April 14, 2026, 6:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd468e263c81909d7261bcfd949579 completed May 8, 2026, 2:12 a.m.
Created at: April 10, 2026, 1:13 a.m.