Triple

T6671068
Position Surface form Disambiguated ID Type / Status
Subject Shaka Smart E151730 entity
Predicate name P16 FINISHED
Object Shaka Smart E151730 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: Shaka Smart | Statement: [Shaka Smart, name, Shaka Smart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shaka Smart
Context triple: [Shaka Smart, name, Shaka Smart]
  • A. Shaka Smart chosen
    Shaka Smart is an American college basketball coach best known for his energetic "havoc" defensive style and successful tenures leading programs such as VCU, Texas, and Marquette.
  • B. Mark Turgeon
    Mark Turgeon is an American college basketball coach best known for leading the University of Maryland men's basketball program through much of the 2010s and early 2020s.
  • C. Frank Haith
    Frank Haith is an American college basketball coach best known for leading programs such as the Miami Hurricanes, Missouri Tigers, and Tulsa Golden Hurricane men's teams.
  • D. Scott Drew
    Scott Drew is an American college basketball coach best known for transforming Baylor University’s program into a national powerhouse and winning the 2021 NCAA championship.
  • E. Bill Musselman
    Bill Musselman was an American basketball coach known for his intense, defense-oriented style and successful stints in college basketball, the ABA, and the NBA.
  • 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_69c687f71fc081909dbd45d6377f6045 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b0c9163c8190ad959172a8458619 completed March 27, 2026, 4:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6ef12fcfc819086b37dc9b9929663 completed March 27, 2026, 8:56 p.m.
Created at: March 27, 2026, 2:03 p.m.