Triple

T1873952
Position Surface form Disambiguated ID Type / Status
Subject Mel Daniels E39095 entity
Predicate leagueMVP P16058 FINISHED
Object ABA E3272 NE FINISHED

How this triple was built (3 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: [Mel Daniels, leagueMVP, ABA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ABA
Context triple: [Mel Daniels, leagueMVP, 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 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.
  • E. ACA
    ACA is a professional scientific organization that promotes the study and application of crystallography and structural science, primarily in North America.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: leagueMVP
Context triple: [Mel Daniels, leagueMVP, ABA]
  • A. mostValuablePlayerAward chosen
    Indicates that an entity has received a "Most Valuable Player" award recognizing it as the most outstanding performer in a particular context or competition.
  • B. MVPawardYear
    Indicates the year in which an entity received a Most Valuable Player (MVP) award.
  • C. NFLMVPawards
    Indicates the number of times an entity has received the NFL Most Valuable Player (MVP) award.
  • D. MVPPoints
    Indicates the number of points an entity has earned toward a Most Valuable Player (MVP) recognition or award.
  • E. ManagerOfTheYearAward
    Indicates that an entity has received the "Manager of the Year" award in recognition of outstanding managerial performance.
  • F. None of above.

Provenance (4 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_69a8862f7074819096afe7fe65e179e9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb0f79fbc819085c54f3189a552d9 completed March 7, 2026, 5 a.m.
NED1 Entity disambiguation (via context triple) batch_69addf5419488190ad96110f6ac7111f completed March 8, 2026, 8:43 p.m.
PD Predicate disambiguation batch_69abafe2b56c81909e13d543982e6e13 completed March 7, 2026, 4:56 a.m.
Created at: March 4, 2026, 7:34 p.m.