Triple

T6719215
Position Surface form Disambiguated ID Type / Status
Subject Bruins E153352 entity
Predicate mascot P52 FINISHED
Object Josephine Bruin E153351 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: Josephine Bruin | Statement: [Bruins, mascot, Josephine Bruin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Josephine Bruin
Context triple: [Bruins, mascot, Josephine Bruin]
  • A. Josephine Bruin chosen
    Josephine Bruin is one of the costumed bear mascots representing the University of California, Los Angeles at athletic events and campus activities.
  • B. Virginia Jansen
    Virginia Jansen is known as the spouse of American choral and orchestral conductor Robert Shaw.
  • C. Mary Jacobe
    Mary Jacobe is a Christian saint traditionally venerated as one of the women who witnessed Christ’s resurrection and is especially honored in the Provençal pilgrimage at Saintes-Maries-de-la-Mer.
  • D. Jeanette Demont
    Jeanette Demont was the first wife of American oil tycoon and art collector J. Paul Getty.
  • E. Wivina Demeester
    Wivina Demeester is a Belgian politician known for her long-standing role in Flemish and national politics, particularly in public finance and infrastructure.
  • 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_69c68809b4608190a2509ddb5ab87f05 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d135d27c819088c45839ad0e7bab completed March 27, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7009b9b64819095ae1a65cd72c374 completed March 27, 2026, 10:11 p.m.
Created at: March 27, 2026, 2:07 p.m.