Triple

T17663731
Position Surface form Disambiguated ID Type / Status
Subject Brown Bears men's cross country E440316 entity
Predicate nickname P55 FINISHED
Object Bears
Bears is the nickname for the Brown Bears men's cross country team, representing Brown University in collegiate distance running competitions.
E1281766 NE FINISHED

How this triple was built (4 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: Bears | Statement: [Brown Bears men's cross country, nickname, Bears]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bears
Context triple: [Brown Bears men's cross country, nickname, Bears]
  • A. Bears
    The Bears are the athletic teams representing Baylor University in collegiate sports competitions.
  • B. Bears
    Bears is the short name used for the former Australian rules football club Brisbane Bears.
  • C. Bears
    The Bears are the athletic teams representing Missouri State University in intercollegiate sports.
  • D. Bears
    Bears are large, powerful mammals known for their strength, omnivorous diet, and presence in diverse habitats across the Northern Hemisphere.
  • E. Bears
    The Bears are the athletic teams representing the University of Northern Colorado in collegiate sports.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bears
Triple: [Brown Bears men's cross country, nickname, Bears]
Generated description
Bears is the nickname for the Brown Bears men's cross country team, representing Brown University in collegiate distance running competitions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bears
Target entity description: Bears is the nickname for the Brown Bears men's cross country team, representing Brown University in collegiate distance running competitions.
  • A. Bears
    Bears is the nickname for the Brown University women's basketball team, representing the school in NCAA Division I competition.
  • B. Bears
    Bears is the nickname used by numerous sports teams, most notably collegiate athletic programs, symbolizing strength, toughness, and resilience.
  • C. Bears
    The Bears are the athletic teams representing the University of Northern Colorado in collegiate sports.
  • D. Bears
    The Bears are the athletic teams representing Baylor University in collegiate sports competitions.
  • E. Bears
    The Bears are the athletic teams representing Ursinus College in intercollegiate sports.
  • F. None of above. chosen

Provenance (5 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_69d8b9e87e18819087104a44dc4dc5b1 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e46ea7f0ec81908eff43aa845584af completed April 19, 2026, 5:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02232075b48190a3defc74027b775e completed May 11, 2026, 6:42 p.m.
NEDg Description generation batch_6a02258632d081909249af799f8d2adb completed May 11, 2026, 6:52 p.m.
NED2 Entity disambiguation (via description) batch_6a0225cb32c4819089ef592279cd64cb completed May 11, 2026, 6:54 p.m.
Created at: April 10, 2026, 9:53 a.m.