Triple

T5869754
Position Surface form Disambiguated ID Type / Status
Subject 2014 NBA Finals E130484 entity
Predicate losingCoach P2169 FINISHED
Object Erik Spoelstra E90613 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: Erik Spoelstra | Statement: [2014 NBA Finals, losingCoach, Erik Spoelstra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Erik Spoelstra
Context triple: [2014 NBA Finals, losingCoach, Erik Spoelstra]
  • A. Erik Spoelstra chosen
    Erik Spoelstra is a Filipino-American professional basketball coach best known for leading the Miami Heat to multiple NBA championships.
  • B. Jon Spoelstra
    Jon Spoelstra is an American sports marketing executive and author known for his innovative and influential work in NBA team marketing and management.
  • C. Darvin Ham
    Darvin Ham is an American former NBA player and current basketball coach known for serving as the head coach of the Los Angeles Lakers.
  • D. Billy Donovan
    Billy Donovan is an American basketball coach and former college championship-winning coach who currently leads the NBA's Chicago Bulls.
  • E. Frank Vogel
    Frank Vogel is an American professional basketball coach best known for leading the Los Angeles Lakers to the 2020 NBA championship and serving as head coach for multiple NBA franchises.
  • 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_69c0085047dc8190af24e311edad3c07 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c035c3a43c8190a2b20fb139cc823f completed March 22, 2026, 6:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a1d39dd081908d77ee82c24178cf completed March 23, 2026, 2:13 a.m.
Created at: March 22, 2026, 3:56 p.m.