Triple

T1440770
Position Surface form Disambiguated ID Type / Status
Subject The Howl E31064 entity
Predicate associatedWithMascot P52 FINISHED
Object Lobo
Lobo is the wolf mascot character commonly used to represent teams and organizations, especially in sports and school settings.
 E31063 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: Lobo | Statement: [The Howl, associatedWithMascot, Lobo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lobo
Context triple: [The Howl, associatedWithMascot, Lobo]
  • A. Lobos
    Lobos is the nickname for the University of New Mexico’s men’s basketball team, a Division I program known for its passionate fan base and home games at The Pit in Albuquerque.
  • B. Barkley
    Barkley is a surname most notably associated with Alben W. Barkley, the 35th vice president of the United States under President Harry S. Truman.
  • C. Guabiraba
    Guabiraba is a neighborhood and administrative district located in the northern part of Recife, in the state of Pernambuco, Brazil.
  • D. Wolf
    Wolf is a common German surname borne by numerous notable individuals across fields such as scholarship, politics, and the arts.
  • E. Buck
    Buck is a surname most prominently associated with American sportscaster Joe Buck, known for his play-by-play commentary on major baseball and football broadcasts.
  • 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: Lobo
Triple: [The Howl, associatedWithMascot, Lobo]
Generated description
Lobo is the wolf mascot character commonly used to represent teams and organizations, especially in sports and school settings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lobo
Target entity description: Lobo is the wolf mascot character commonly used to represent teams and organizations, especially in sports and school settings.
  • A. Lobos chosen
    Lobos is the nickname for the University of New Mexico’s men’s basketball team, a Division I program known for its passionate fan base and home games at The Pit in Albuquerque.
  • B. Barkley
    Barkley is a surname most notably associated with Alben W. Barkley, the 35th vice president of the United States under President Harry S. Truman.
  • C. Guabiraba
    Guabiraba is a neighborhood and administrative district located in the northern part of Recife, in the state of Pernambuco, Brazil.
  • D. Wolf
    Wolf is a common German surname borne by numerous notable individuals across fields such as scholarship, politics, and the arts.
  • E. Buck
    Buck is a surname most prominently associated with American sportscaster Joe Buck, known for his play-by-play commentary on major baseball and football broadcasts.
  • F. None of above.

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_69a4991633388190a4d61b5a98aa407a completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c5307e988190b392f1f1d1ac10f0 completed March 1, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad0e6e12748190baeb91ba843a716f completed March 8, 2026, 5:51 a.m.
NEDg Description generation batch_69ad0ed1fb608190a9295808e144d0fb completed March 8, 2026, 5:53 a.m.
NED2 Entity disambiguation (via description) batch_69ad0f90cdec81908a981e12184cdd75 completed March 8, 2026, 5:56 a.m.
Created at: March 1, 2026, 8 p.m.