Triple

T736859
Position Surface form Disambiguated ID Type / Status
Subject Memphis Tigers E14952 entity
Predicate mascot P52 FINISHED
Object Pouncer
Pouncer is the costumed tiger mascot who represents the University of Memphis Tigers at athletic events and school functions.
E89352 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: Pouncer | Statement: [Memphis Tigers, mascot, Pouncer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pouncer
Context triple: [Memphis Tigers, mascot, Pouncer]
  • A. Rascal
    Rascal is the furry, family-friendly mascot of the West Michigan Whitecaps minor league baseball team, entertaining fans at games and community events.
  • B. Prancer
    Prancer is one of Santa Claus's legendary flying reindeer, traditionally depicted as helping pull his sleigh on Christmas Eve.
  • C. Paws
    Paws is the costumed team mascot of the WNBA’s Washington Mystics, entertaining fans at games and events.
  • D. Parker
    Parker is a common English surname borne by numerous notable individuals across fields such as politics, sports, arts, and science.
  • E. Pinky
    Pinky is a 1949 American drama film directed by Elia Kazan that explores race, identity, and passing in the segregated American South.
  • 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: Pouncer
Triple: [Memphis Tigers, mascot, Pouncer]
Generated description
Pouncer is the costumed tiger mascot who represents the University of Memphis Tigers at athletic events and school functions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pouncer
Target entity description: Pouncer is the costumed tiger mascot who represents the University of Memphis Tigers at athletic events and school functions.
  • A. Rascal
    Rascal is the furry, family-friendly mascot of the West Michigan Whitecaps minor league baseball team, entertaining fans at games and community events.
  • B. Prancer
    Prancer is one of Santa Claus's legendary flying reindeer, traditionally depicted as helping pull his sleigh on Christmas Eve.
  • C. Paws
    Paws is the costumed team mascot of the WNBA’s Washington Mystics, entertaining fans at games and events.
  • D. Parker
    Parker is a common English surname borne by numerous notable individuals across fields such as politics, sports, arts, and science.
  • E. Pinky
    Pinky is a 1949 American drama film directed by Elia Kazan that explores race, identity, and passing in the segregated American South.
  • 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_69a4934d9930819099eed80096b0597d completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a5effc108190aea8fbe86641ba54 completed March 1, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69a654e1d10c8190b69b30cc70add604 completed March 3, 2026, 3:26 a.m.
NEDg Description generation batch_69a6557837bc8190a2868cb661f2f2e6 completed March 3, 2026, 3:28 a.m.
NED2 Entity disambiguation (via description) batch_69a6560a55e881909a37e503b82b35f3 completed March 3, 2026, 3:31 a.m.
Created at: March 1, 2026, 7:37 p.m.