Triple

T15223705
Position Surface form Disambiguated ID Type / Status
Subject Bulldog Turner E363823 entity
Predicate nickname P55 FINISHED
Object Bulldog E213040 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: Bulldog | Statement: [Bulldog Turner, nickname, Bulldog]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bulldog
Context triple: [Bulldog Turner, nickname, Bulldog]
  • A. Bulldog
    The Bulldog is a sturdy, muscular dog breed known for its wrinkled face, pushed-in nose, and calm yet determined temperament.
  • B. Bulldog chosen
    Bulldog is the nickname of former Major League Baseball pitcher Orel Hershiser, renowned for his dominant performances with the Los Angeles Dodgers.
  • C. Bulldogs
    Bulldogs is the nickname and mascot for Mississippi State University’s athletic teams, representing the school in collegiate sports.
  • D. Bulldogs
    Bulldogs is the nickname of the Western Bulldogs, a professional Australian rules football club based in Melbourne that competes in the Australian Football League (AFL).
  • E. Bulldogs
    Bulldogs is the nickname and mascot for the University of Minnesota Duluth’s athletic teams, representing the school in collegiate sports competitions.
  • 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_69d85a0ce24c81909c4d3b6475548c95 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0078a9318819081db3b7bcc28e04f completed April 15, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fedd35ae348190beb1b113bfc66ab3 completed May 9, 2026, 7:07 a.m.
Created at: April 10, 2026, 3:12 a.m.