Triple

T2959063
Position Surface form Disambiguated ID Type / Status
Subject Kaseya Center E80001 entity
Predicate tenant P75 FINISHED
Object Miami Heat E14868 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: Miami Heat | Statement: [Kaseya Center, tenant, Miami Heat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miami Heat
Context triple: [Kaseya Center, tenant, Miami Heat]
  • A. Miami Heat chosen
    The Miami Heat are a professional NBA basketball team based in Miami, Florida, known for multiple championships and star players such as Dwyane Wade and LeBron James.
  • B. The Heat
    The Heat is a 2013 buddy-cop comedy film starring Sandra Bullock and Melissa McCarthy as mismatched law enforcement partners.
  • C. Orlando Magic
    The Orlando Magic are a professional NBA basketball team based in Orlando, Florida, competing in the league's Eastern Conference.
  • D. Milwaukee Bucks
    The Milwaukee Bucks are a professional NBA basketball team based in Milwaukee, Wisconsin, known for their multiple championships and star players such as Kareem Abdul-Jabbar and Giannis Antetokounmpo.
  • E. Boston Celtics
    The Boston Celtics are a storied NBA franchise known for their record number of championships and iconic players like Bill Russell and Larry Bird.
  • 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_69ad8b1341848190bd19dbf46892887d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad992c4c7c819084b5bef299255181 completed March 8, 2026, 3:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69b108de7e3c81908b1fee310515e4c1 completed March 11, 2026, 6:17 a.m.
Created at: March 8, 2026, 2:57 p.m.