Triple

T1969652
Position Surface form Disambiguated ID Type / Status
Subject Purchase College, SUNY E42768 entity
Predicate sportsNickname P55 FINISHED
Object Panthers
The Panthers are the athletic teams representing Purchase College, part of the State University of New York system.
E219402 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: Panthers | Statement: [Purchase College, SUNY, sportsNickname, Panthers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Panthers
Context triple: [Purchase College, SUNY, sportsNickname, Panthers]
  • A. Panthers
    Panthers are large, powerful wild cats—often referring to melanistic leopards or jaguars—commonly used as athletic mascots to symbolize strength, agility, and stealth.
  • B. Panthers
    The Panthers are the athletic teams representing Florida International University in collegiate sports competitions.
  • C. Panthers
    The Panthers are the athletic teams representing LaGrange College in intercollegiate sports.
  • D. Panthers
    Panthers is the athletics nickname for the sports teams representing Georgia State University.
  • E. Panthers
    The Panthers are the athletic teams representing High Point University in collegiate sports competitions.
  • 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: Panthers
Triple: [Purchase College, SUNY, sportsNickname, Panthers]
Generated description
The Panthers are the athletic teams representing Purchase College, part of the State University of New York system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Panthers
Target entity description: The Panthers are the athletic teams representing Purchase College, part of the State University of New York system.
  • A. Panthers
    The Panthers are the athletic teams representing High Point University in collegiate sports competitions.
  • B. Panthers
    The Panthers are the athletic teams representing Clark Atlanta University in collegiate sports.
  • C. Panthers
    The Panthers are the athletic teams representing Florida International University in collegiate sports competitions.
  • D. Panthers
    The Panthers are the athletic teams representing LaGrange College in intercollegiate sports.
  • E. Panthers
    Panthers is the athletics nickname for the sports teams representing Georgia State University.
  • 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_69a88711151c8190940b2572095059d7 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb3d17274819084cd352a3d2a8151 completed March 7, 2026, 5:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfbd9a2dc81909f86fdfa9c646dd0 completed March 8, 2026, 10:44 p.m.
NEDg Description generation batch_69adfc6e40f081909682afd84f4e9338 completed March 8, 2026, 10:47 p.m.
NED2 Entity disambiguation (via description) batch_69adfd9fa4cc81909734a147626da4d1 completed March 8, 2026, 10:52 p.m.
Created at: March 4, 2026, 7:36 p.m.