Triple

T22213726
Position Surface form Disambiguated ID Type / Status
Subject 2006–07 NBA season E549019 entity
Predicate reboundsLeader P2667 FINISHED
Object Kevin Garnett NE NERFINISHED

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: Kevin Garnett | Statement: [2006–07 NBA season, reboundsLeader, Kevin Garnett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kevin Garnett
Context triple: [2006–07 NBA season, reboundsLeader, Kevin Garnett]
  • A. Kevin Garnett chosen
    Kevin Garnett is a Hall of Fame NBA power forward/center renowned for his intense defense, versatility, and leadership, highlighted by winning the 2008 championship and Defensive Player of the Year with the Boston Celtics.
  • B. Joe Garnett
    Joe Garnett is an artist and designer known for creating album cover artwork, including the cover for the record "Full Circle."
  • C. Paul Pierce
    Paul Pierce is a Hall of Fame NBA forward best known as the longtime star and 2008 Finals MVP of the Boston Celtics.
  • D. Grant Hill
    Grant Hill is a former NBA star forward renowned for his all-around versatility, multiple All-Star selections, and a career that spanned teams like the Detroit Pistons and Orlando Magic.
  • E. Grant Hill
    Grant Hill is a film producer best known for his work on acclaimed movies such as "The Thin Red Line," "The Matrix" sequels, and other major Hollywood productions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e3f7e04819089806d81d5ac431e completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12b2d607c81909511761b5563ddee completed April 28, 2026, 9:48 p.m.
Created at: April 16, 2026, 8:37 p.m.