Triple

T6592314
Position Surface form Disambiguated ID Type / Status
Subject John Thompson E148390 entity
Predicate coachOf P2169 FINISHED
Object Allen Iverson E52303 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: Allen Iverson | Statement: [John Thompson, coachOf, Allen Iverson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Allen Iverson
Context triple: [John Thompson, coachOf, Allen Iverson]
  • A. Allen Iverson chosen
    Allen Iverson is a Hall of Fame NBA guard renowned for his electrifying scoring ability, cultural impact, and iconic tenure as the leader of the Philadelphia 76ers.
  • B. White Iverson
    "White Iverson" is the breakout debut single by American rapper and singer Post Malone, blending melodic hip-hop and introspective lyrics that propelled him to mainstream recognition.
  • C. Jalen Rose
    Jalen Rose is a former American NBA player and prominent sports analyst best known as a member of Michigan's famed "Fab Five" college basketball team.
  • 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 (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_69c687e7b8688190811ffee72e096468 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6aece1f848190a11676e072afb002 completed March 27, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cbba656c81909c3876a8f2f7300e completed March 27, 2026, 6:26 p.m.
Created at: March 27, 2026, 1:55 p.m.