Triple

T5092889
Position Surface form Disambiguated ID Type / Status
Subject TSU Tigers E114794 entity
Predicate mascot P52 FINISHED
Object Tiger
The tiger is a large, powerful carnivorous cat known for its distinctive orange coat with black stripes and its status as an apex predator in Asia.
E492018 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: Tiger | Statement: [TSU Tigers, mascot, Tiger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tiger
Context triple: [TSU Tigers, mascot, Tiger]
  • A. Tiger
    Tiger is a legendary American professional golfer widely regarded as one of the greatest players in the history of the sport.
  • B. Tigers
    Tigers is the nickname and mascot used by numerous sports teams, most prominently Louisiana State University’s athletic programs, including the LSU Tigers women’s basketball team.
  • C. Tigers
    Tigers is the nickname and mascot used for the athletic teams representing Olivet Nazarene University.
  • D. Tigers
    The Tigers are the athletic teams representing the Rochester Institute of Technology in intercollegiate sports.
  • E. Tigers
    The Tigers are the athletic teams representing the University of West Alabama 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: Tiger
Triple: [TSU Tigers, mascot, Tiger]
Generated description
The tiger is a large, powerful carnivorous cat known for its distinctive orange coat with black stripes and its status as an apex predator in Asia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tiger
Target entity description: The tiger is a large, powerful carnivorous cat known for its distinctive orange coat with black stripes and its status as an apex predator in Asia.
  • A. Tiger
    Tiger is a legendary American professional golfer widely regarded as one of the greatest players in the history of the sport.
  • B. Tigers
    The Tigers are the athletic teams representing the Rochester Institute of Technology in intercollegiate sports.
  • C. Tigers
    The Tigers are the athletic teams representing the University of West Alabama in collegiate sports.
  • D. Tigers
    The Tigers are the athletic teams of Princeton University, most famously represented by the Princeton Tigers men's basketball program known for its disciplined, strategic style of play.
  • E. Tigers
    Tigers is the nickname and mascot used by numerous sports teams, most prominently Louisiana State University’s athletic programs, including the LSU Tigers women’s basketball team.
  • 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_69bd443fc49c819089629c00e311310c completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd754369708190bf4e171a904a19e1 completed March 20, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69beb14f097081908d835190f13796dd completed March 21, 2026, 2:55 p.m.
NEDg Description generation batch_69beb202a8748190b677d7bcd2db66c8 completed March 21, 2026, 2:58 p.m.
NED2 Entity disambiguation (via description) batch_69beb28cf7b881909d40b70a7fff5033 completed March 21, 2026, 3 p.m.
Created at: March 20, 2026, 1:40 p.m.