Triple

T15200126
Position Surface form Disambiguated ID Type / Status
Subject Reynard E363244 entity
Predicate hasEnemy P4675 FINISHED
Object Bruin the Bear E1144187 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: Bruin the Bear | Statement: [Reynard, hasEnemy, Bruin the Bear]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bruin the Bear
Context triple: [Reynard, hasEnemy, Bruin the Bear]
  • A. Bruin the Bear chosen
    Bruin the Bear is a strong but often gullible bear character from the medieval European Reynard the Fox tales, serving as one of Reynard’s frequent foils.
  • B. Buck the bear
    Buck the bear is the trained bear who portrayed the titular animal character in the television series "Gentle Ben."
  • C. Brisky the Bear
    Brisky the Bear is the costumed bear mascot of Japan’s Hokkaido Nippon-Ham Fighters professional baseball team, known for entertaining fans at games and team events.
  • D. Boomer the Bear
    Boomer the Bear is the costumed bear mascot who represents Missouri State University at athletic events and campus activities.
  • E. Tim the Bear
    Tim the Bear is a talking anthropomorphic bear and one of the main characters on the animated TV series "The Cleveland Show."
  • 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e006b588b88190a88e91d521acbdfe completed April 15, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69fedd2dc6f08190a8f1612ac29a8654 completed May 9, 2026, 7:07 a.m.
Created at: April 10, 2026, 3:10 a.m.