Triple

T12806385
Position Surface form Disambiguated ID Type / Status
Subject Tougaloo College E306152 entity
Predicate mascot P52 FINISHED
Object Bulldog E988360 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: [Tougaloo College, mascot, Bulldog]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bulldog
Context triple: [Tougaloo College, mascot, Bulldog]
  • A. Bulldog chosen
    The Bulldog is a sturdy, muscular dog breed known for its wrinkled face, pushed-in nose, and calm yet determined temperament.
  • B. Bulldog
    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_69d7bdf366888190a8cccb982606889c completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e7f370c8190b3fc39c1b63394c6 completed April 10, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68ec6556081909375fada79ddcb8c completed May 2, 2026, 11:54 p.m.
Created at: April 9, 2026, 5:31 p.m.