Triple

T11299122
Position Surface form Disambiguated ID Type / Status
Subject The Den E267530 entity
Predicate associatedWithMascot P52 FINISHED
Object Joe Bruin E147361 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: Joe Bruin | Statement: [The Den, associatedWithMascot, Joe Bruin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joe Bruin
Context triple: [The Den, associatedWithMascot, Joe Bruin]
  • A. Joe Bruin chosen
    Joe Bruin is the costumed bear mascot who represents the UCLA Bruins at the University of California, Los Angeles.
  • B. Oscar Brodney
    Oscar Brodney was an American screenwriter best known for his work on mid-20th-century Hollywood films, particularly biographical and musical dramas.
  • C. Estevan Bruins
    The Estevan Bruins are a Canadian junior ice hockey team based in Estevan, Saskatchewan, competing in the Saskatchewan Junior Hockey League (SJHL).
  • D. Steve Brodie
    Steve Brodie was an American character actor known for his prolific work in film noir and Westerns during the 1940s and 1950s.
  • E. Johnny Norris
    Johnny Norris is a fictional character who appears in the "The Ledge" segment of the horror anthology film Cat's Eye.
  • 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_69d6aac993a08190a6f36445ebaf9a43 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9a3616c8190a8fd23ca67463806 completed April 9, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69e50a3e26e88190991127a5993a32a4 completed April 19, 2026, 5 p.m.
Created at: April 8, 2026, 9:32 p.m.