Triple

T19756130
Position Surface form Disambiguated ID Type / Status
Subject Houston Cougars E474504 entity
Predicate mascot P52 FINISHED
Object Sasha
Sasha is one of the costumed cougar mascots representing the University of Houston’s athletic teams.
E256466 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: Sasha | Statement: [Houston Cougars, mascot, Sasha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sasha
Context triple: [Houston Cougars, mascot, Sasha]
  • A. Sasha
    Sasha is a renowned British DJ and record producer known for his influential role in the development of progressive house and trance music.
  • B. Sasha
    Sasha is a sharp-witted Pandoran con artist and key supporting protagonist in the episodic graphic adventure game Tales from the Borderlands.
  • C. Sasha
    Sasha is a charismatic, gender-fluid Russian nobleman and love interest in Virginia Woolf’s novel "Orlando: A Biography."
  • D. Sasha
    Sasha is a common Russian diminutive form of the given name Alexander (and also Alexandra).
  • E. Sasha
    Sasha is a troubled, kleptomaniac assistant to a music executive and one of the central, interlinked characters in Jennifer Egan’s novel *A Visit from the Goon Squad*.
  • 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: Sasha
Triple: [Houston Cougars, mascot, Sasha]
Generated description
Sasha is one of the costumed cougar mascots representing the University of Houston’s athletic teams.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sasha
Target entity description: Sasha is one of the costumed cougar mascots representing the University of Houston’s athletic teams.
  • A. Sasha chosen
    Sasha is one of the costumed cougar mascots representing the University of Houston's athletic teams, the Houston Cougars.
  • B. Sasha
    Sasha is a sharp-witted Pandoran con artist and key supporting protagonist in the episodic graphic adventure game Tales from the Borderlands.
  • C. Sasha
    Sasha is a common Russian diminutive form of the given name Alexander (and also Alexandra).
  • D. Sasha
    Sasha is a troubled, kleptomaniac assistant to a music executive and one of the central, interlinked characters in Jennifer Egan’s novel *A Visit from the Goon Squad*.
  • E. Sasha
    Sasha is a charismatic, gender-fluid Russian nobleman and love interest in Virginia Woolf’s novel "Orlando: A Biography."
  • 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_69d8e51940a0819087bd2996f98da668 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6531afcbc8190bd5364700008f6d8 completed April 20, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07bd67064081908839a408b0e746e1 completed May 16, 2026, 12:42 a.m.
NEDg Description generation batch_6a07bde28e848190aaa9c4a06b31bdb6 completed May 16, 2026, 12:44 a.m.
NED2 Entity disambiguation (via description) batch_6a07bed4c8d8819094fafce7eee69ee7 completed May 16, 2026, 12:48 a.m.
Created at: April 10, 2026, 1:48 p.m.