Triple

T8374087
Position Surface form Disambiguated ID Type / Status
Subject University of Texas at Dallas E197530 entity
Predicate mascot P52 FINISHED
Object Temoc
Temoc is the fiery comet-themed mascot of the University of Texas at Dallas, representing the school's spirit at athletic and campus events.
 E729603 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: Temoc | Statement: [University of Texas at Dallas, mascot, Temoc]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Temoc
Context triple: [University of Texas at Dallas, mascot, Temoc]
  • A. Tenorio
    Tenorio is a Spanish-origin surname borne by various notable figures, including the Colombian independence leader Camilo Torres Tenorio.
  • B. Gukumatz
    Gukumatz is a feathered serpent deity of the Kʼicheʼ Maya, closely associated with creation, wind, and wisdom and identified with the Mesoamerican god Quetzalcoatl.
  • C. Tolomako
    Tolomako is an Oceanic language spoken on Espiritu Santo in Vanuatu, known for its relatively simple phonology and grammar.
  • D. Orohena
    Orohena is the highest peak on the island of Tahiti in French Polynesia, known for its rugged volcanic terrain and prominence in the Society Islands.
  • E. Otumba
    Otumba is a town in central Mexico historically notable as the site of the Battle of Otumba during the Spanish conquest.
  • 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: Temoc
Triple: [University of Texas at Dallas, mascot, Temoc]
Generated description
Temoc is the fiery comet-themed mascot of the University of Texas at Dallas, representing the school's spirit at athletic and campus events.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Temoc
Target entity description: Temoc is the fiery comet-themed mascot of the University of Texas at Dallas, representing the school's spirit at athletic and campus events.
  • A. Tenorio
    Tenorio is a Spanish-origin surname borne by various notable figures, including the Colombian independence leader Camilo Torres Tenorio.
  • B. Gukumatz
    Gukumatz is a feathered serpent deity of the Kʼicheʼ Maya, closely associated with creation, wind, and wisdom and identified with the Mesoamerican god Quetzalcoatl.
  • C. Tolomako
    Tolomako is an Oceanic language spoken on Espiritu Santo in Vanuatu, known for its relatively simple phonology and grammar.
  • D. Orohena
    Orohena is the highest peak on the island of Tahiti in French Polynesia, known for its rugged volcanic terrain and prominence in the Society Islands.
  • E. Otumba
    Otumba is a town in central Mexico historically notable as the site of the Battle of Otumba during the Spanish conquest.
  • 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_69ca82f56730819080cec5d991c76f4c completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb80a996ec819083ce2607c0cdab7f completed March 31, 2026, 8:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde7e7e7ac819084e82a98c4c1249e completed April 2, 2026, 3:52 a.m.
NEDg Description generation batch_69cdebf81adc81908feb7b19b5b151c3 completed April 2, 2026, 4:09 a.m.
NED2 Entity disambiguation (via description) batch_69cdeccedf4081909cab853ee1ff1b82 completed April 2, 2026, 4:13 a.m.
Created at: March 30, 2026, 6:01 p.m.