Triple

T2873821
Position Surface form Disambiguated ID Type / Status
Subject University of Indianapolis E56826 entity
Predicate athleticsNickname P55 FINISHED
Object Greyhounds E126778 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: Greyhounds | Statement: [University of Indianapolis, athleticsNickname, Greyhounds]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greyhounds
Context triple: [University of Indianapolis, athleticsNickname, Greyhounds]
  • A. Greyhound
    Greyhound is a 2020 World War II naval thriller film starring Tom Hanks as a U.S. destroyer captain escorting Allied convoys across the Atlantic while evading German U-boats.
  • B. Greyhound chosen
    Greyhound is a breed of tall, slender sighthound renowned for its exceptional speed and grace, historically used for hunting and racing.
  • C. Ridgebacks
    The Ridgebacks are the varsity athletic teams representing Ontario Tech University in intercollegiate sports competitions.
  • D. Gazelle
    Gazelle is a lethal, acrobatic assassin from the Kingsman film series, recognizable for her bladed prosthetic legs and role as Richmond Valentine’s chief enforcer.
  • E. Cheetah
    Cheetah is the internal codename for Mac OS X 10.0, the first major release of Apple's Mac OS X operating system.
  • 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_69ab4a4ced288190ab6d3e062d10f7f6 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abe0032ddc8190bb4d15ec7e3c63e8 completed March 7, 2026, 8:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69b01db780908190919d859205464b2e completed March 10, 2026, 1:33 p.m.
Created at: March 6, 2026, 10:03 p.m.