Triple

T11385828
Position Surface form Disambiguated ID Type / Status
Subject Granny E269712 entity
Predicate oftenSeenWith P3100 FINISHED
Object Hector the Bulldog E287146 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: Hector the Bulldog | Statement: [Granny, oftenSeenWith, Hector the Bulldog]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hector the Bulldog
Context triple: [Granny, oftenSeenWith, Hector the Bulldog]
  • A. Hector the Bulldog chosen
    Hector the Bulldog is a tough, muscular bulldog character from the Looney Tunes cartoons, often portrayed as a protector of characters like Tweety.
  • B. Bulldog Hugo
    Bulldog Hugo is the pet bulldog of American actress Renée Felice Smith, known to her fans from her role on "NCIS: Los Angeles."
  • C. Butch the Bulldog
    Butch the Bulldog is a classic Disney cartoon character known as Pluto’s tough, antagonistic canine rival.
  • D. Champ the Bulldog
    Champ the Bulldog is the costumed canine mascot representing the University of Minnesota Duluth Bulldogs athletic teams.
  • E. Spike the Bulldog
    Spike the Bulldog is the costumed canine mascot representing Gonzaga University's men's basketball team and broader athletic programs.
  • 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_69d6aacdbc6c8190af6dc3d5f5d22836 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7fc378d808190b587a044ede67e1e completed April 9, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69e58c3c9a7081908002d726ec9e7715 completed April 20, 2026, 2:15 a.m.
Created at: April 8, 2026, 9:34 p.m.