Triple

T19250337
Position Surface form Disambiguated ID Type / Status
Subject Jalyn Hall E481371 entity
Predicate appearedIn P795 FINISHED
Object Bruiser NE NERFINISHED

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: Bruiser | Statement: [Jalyn Hall, appearedIn, Bruiser]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bruiser
Context triple: [Jalyn Hall, appearedIn, Bruiser]
  • A. Bruiser
    Bruiser is the costumed mascot character for the Saskatchewan-based professional lacrosse team, the Saskatoon Rush.
  • B. Bruiser chosen
    Bruiser is a 2000 psychological horror-thriller film directed by George A. Romero about a man who, after mysteriously losing his face, embarks on a vengeful rampage against those who have wronged him.
  • C. Bruiser the Bulldog
    Bruiser the Bulldog is the costumed canine mascot representing Adrian College at its athletic events and campus activities.
  • D. Bruiser the Bear
    Bruiser the Bear is the costumed bear mascot who represents Baylor University’s athletic teams and school spirit.
  • E. Intimidator
    Intimidator is a high-speed steel roller coaster at Carowinds themed after NASCAR legend Dale Earnhardt, known for its tall drops and intense airtime.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8cd9d1081908a181d02b88b59b8 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fb3001308190913e24343769be8d completed April 20, 2026, 10:08 a.m.
Created at: April 10, 2026, 1:27 p.m.