Triple

T10455522
Position Surface form Disambiguated ID Type / Status
Subject Kentucky State Thorobreds and Thorobrettes E246541 entity
Predicate teamName P7598 FINISHED
Object Thorobrettes E576225 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: Thorobrettes | Statement: [Kentucky State Thorobreds and Thorobrettes, teamName, Thorobrettes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thorobrettes
Context triple: [Kentucky State Thorobreds and Thorobrettes, teamName, Thorobrettes]
  • A. Thorobred chosen
    Thorobred is the racehorse-themed mascot representing Kentucky State University’s athletic teams.
  • B. Boontling
    Boontling is a highly localized and inventive American English argot developed in the late 19th century in Boonville, California, known for its unique vocabulary and obscure origins.
  • C. Broten
    Broten is a surname most notably associated with American ice hockey player Neal Broten, a Stanley Cup champion and Olympic gold medalist.
  • D. Tyto
    Tyto is a genus of medium-sized owls best known for including the widespread barn owl and its close relatives.
  • E. Lappidoth
    Lappidoth is a biblical figure mentioned in the Book of Judges as the husband of the prophetess and judge Deborah.
  • 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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fe48d15c8190bae0d4859e6cda5d completed April 7, 2026, 12:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69d87f10b45c81908f1d3128c65750f8 completed April 10, 2026, 4:39 a.m.
Created at: April 6, 2026, 12:18 p.m.