Triple

T1621971
Position Surface form Disambiguated ID Type / Status
Subject Frank Vogel E35051 entity
Predicate name P16 FINISHED
Object Frank Vogel E35051 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: Frank Vogel | Statement: [Frank Vogel, name, Frank Vogel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frank Vogel
Context triple: [Frank Vogel, name, Frank Vogel]
  • A. Frank Vogel chosen
    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.
  • B. 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.
  • C. Mike Budenholzer
    Mike Budenholzer is an American professional basketball coach best known for leading the Milwaukee Bucks to the 2021 NBA championship and previously guiding the Atlanta Hawks to a 60-win season.
  • D. Erik Spoelstra
    Erik Spoelstra is a Filipino-American professional basketball coach best known for leading the Miami Heat to multiple NBA championships.
  • E. Tyronn Lue
    Tyronn Lue is an American basketball coach and former NBA player best known for leading the Cleveland Cavaliers to their first championship in 2016.
  • 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_69a886023194819080a3fccd6e325d0e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a909b1fc788190b38c0aa4ccc2e953 completed March 5, 2026, 4:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad6092fdd0819099bde0004de869c4 completed March 8, 2026, 11:42 a.m.
Created at: March 4, 2026, 7:28 p.m.