Triple

T9028530
Position Surface form Disambiguated ID Type / Status
Subject Len Bias E216107 entity
Predicate fullName P16 FINISHED
Object Leonard Kevin Bias E216107 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: Leonard Kevin Bias | Statement: [Len Bias, fullName, Leonard Kevin Bias]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leonard Kevin Bias
Context triple: [Len Bias, fullName, Leonard Kevin Bias]
  • A. Len Bias chosen
    Len Bias was a star college basketball player at the University of Maryland and a top NBA prospect whose sudden death from a cocaine overdose in 1986 became a major cultural and legislative turning point in American sports.
  • B. Ben Lutch
    Ben Lutch is an entrepreneur best known as a co-founder of the early internet search and web portal company Excite.
  • C. Mel Lewis
    Mel Lewis was an influential American jazz drummer and bandleader best known for co-leading the Thad Jones/Mel Lewis Orchestra, a cornerstone of modern big band jazz.
  • D. Lionel Bender
    Lionel Bender was an American linguist known for his extensive research and classification work on African languages, particularly those in the Nilo-Saharan and Afroasiatic families.
  • E. Leonard Thompson
    Leonard Thompson was the first person in history to receive an insulin injection for the treatment of diabetes, marking a breakthrough in modern medicine.
  • 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_69ca83a5fa88819088144801b4dd7245 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6a7fcb308190af90d6be8700e498 completed April 1, 2026, 12:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfdbc289648190834031537c8ce130 completed April 3, 2026, 3:24 p.m.
Created at: March 30, 2026, 7:08 p.m.