Triple

T1485900
Position Surface form Disambiguated ID Type / Status
Subject George Gervin E29461 entity
Predicate professionalDebutLeague P13672 FINISHED
Object ABA E3272 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: ABA | Statement: [George Gervin, professionalDebutLeague, ABA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ABA
Context triple: [George Gervin, professionalDebutLeague, ABA]
  • A. ABA chosen
    The ABA (American Basketball Association) was a professional basketball league that operated in the United States from 1967 to 1976 and later merged with the NBA, known for its flashy style, three-point line, and red-white-and-blue basketball.
  • B. ABA
    ABA is the commonly used acronym for the American Bar Association, the national professional organization for lawyers and the legal profession in the United States.
  • C. ABL
    ABL is the commonly used abbreviation for the Academia Brasileira de Letras, Brazil’s foremost literary and language academy.
  • D. ACA
    ACA is a professional scientific organization that promotes the study and application of crystallography and structural science, primarily in North America.
  • E. ACA
    ACA is the common abbreviation for the Affordable Care Act, a major U.S. health care reform law enacted in 2010 to expand insurance coverage and consumer protections.
  • 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_69a498da82e08190ba833330d05f380f completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c6a1d8448190b3c90bb82fd806fe completed March 1, 2026, 11:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad15b5aa348190bf6d7a3177eacaff completed March 8, 2026, 6:22 a.m.
Created at: March 1, 2026, 8:12 p.m.