Triple

T3939699
Position Surface form Disambiguated ID Type / Status
Subject Charlotte Hornets E92003 entity
Predicate notablePlayer P304 FINISHED
Object Muggsy Bogues E79806 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: Muggsy Bogues | Statement: [Charlotte Hornets, notablePlayer, Muggsy Bogues]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Muggsy Bogues
Context triple: [Charlotte Hornets, notablePlayer, Muggsy Bogues]
  • A. Muggsy Bogues chosen
    Muggsy Bogues is a former NBA point guard best known as the shortest player in league history at 5-foot-3 and for his long tenure with the Charlotte Hornets.
  • B. Maye
    Maye is the first name of Maye Musk, a Canadian-South African model and dietitian known for her long-running fashion career and as the mother of entrepreneur Elon Musk.
  • C. Ty Bogues
    Ty Bogues is the son of former NBA point guard Muggsy Bogues, the shortest player in league history.
  • D. George Mikan
    George Mikan was a pioneering American professional basketball center widely regarded as the sport’s first dominant big man and an early superstar who helped shape the modern game.
  • E. Turquoise Erving
    Turquoise Erving is best known as the former wife of legendary American basketball player Julius "Dr. J" Erving.
  • 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_69aed965502c8190904ebad1203a4ae8 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeedfb12b88190a6ca6574b1aadb6e completed March 9, 2026, 3:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69b52894cb94819099d023745fcaebbc completed March 14, 2026, 9:21 a.m.
Created at: March 9, 2026, 3:24 p.m.