Triple

T260814
Position Surface form Disambiguated ID Type / Status
Subject John Havlicek E5536 entity
Predicate fullName P16 FINISHED
Object John Joseph Havlicek E5536 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: John Joseph Havlicek | Statement: [John Havlicek, fullName, John Joseph Havlicek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Joseph Havlicek
Context triple: [John Havlicek, fullName, John Joseph Havlicek]
  • A. John Havlicek chosen
    John Havlicek was a Hall of Fame NBA swingman renowned for his all-around play, clutch performances, and eight championships with the Boston Celtics.
  • B. Walt Frazier
    Walt Frazier is a Hall of Fame NBA point guard best known for leading the New York Knicks to two championships in the early 1970s and for his stylish persona on and off the court.
  • C. Bob Cousy
    Bob Cousy is a Hall of Fame point guard renowned for revolutionizing ball-handling and playmaking in the NBA during the 1950s and 1960s.
  • D. Bill Cartwright
    Bill Cartwright is a former American NBA center best known for winning three championships with the Chicago Bulls alongside Michael Jordan in the early 1990s.
  • E. Tom Heinsohn
    Tom Heinsohn was a Hall of Fame player and coach for the Boston Celtics who later became a longtime, beloved television commentator for the team.
  • 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_69a2580a64ac8190ad76e34bb0715b5e completed Feb. 28, 2026, 2:50 a.m.
NER Named-entity recognition batch_69a25d72dad4819092c9502e6e4edc44 completed Feb. 28, 2026, 3:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3949e1e2c819092c702b1fa1cb46c completed March 1, 2026, 1:21 a.m.
Created at: Feb. 28, 2026, 2:55 a.m.