Triple

T15210965
Position Surface form Disambiguated ID Type / Status
Subject Boston University Terriers women's basketball team E363511 entity
Predicate nickname P55 FINISHED
Object Terriers E76302 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: Terriers | Statement: [Boston University Terriers women's basketball team, nickname, Terriers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Terriers
Context triple: [Boston University Terriers women's basketball team, nickname, Terriers]
  • A. Terriers
    Terriers is the nickname of a sports team known as "The Dog Pound."
  • B. Terriers chosen
    The Terriers are the athletic teams representing Boston University in collegiate sports competitions.
  • C. Terriers
    Terriers are a group of small to medium-sized, energetic and tenacious dog breeds originally developed for hunting and vermin control.
  • D. Terriers
    Terriers is an American crime drama television series that blends noir mystery with dark humor, following an unlicensed private investigator and his partner in a small California beach town.
  • E. Terriers
    Terriers was the nickname of the St. Louis Terriers, a short-lived Federal League baseball team that played in the mid-1910s.
  • 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0076ad4ec81908d36f541fca08d72 completed April 15, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fed33f9abc8190bf8166c1fd9fcac6 completed May 9, 2026, 6:25 a.m.
Created at: April 10, 2026, 3:11 a.m.