Triple

T10134614
Position Surface form Disambiguated ID Type / Status
Subject Tejano music E226823 entity
Predicate notableArtist P601 FINISHED
Object Mazz
Mazz is a pioneering and influential Tejano band known for modernizing the genre with a distinctive blend of traditional Mexican music and contemporary pop sounds.
 E843231 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: Mazz | Statement: [Tejano music, notableArtist, Mazz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mazz
Context triple: [Tejano music, notableArtist, Mazz]
  • A. Mazzantini
    Mazzantini is an Italian surname most notably borne by the contemporary novelist and actress Margaret Mazzantini.
  • B. Martz
    Martz is a surname most notably associated with Mike Martz, an American football coach known for his innovative offensive strategies in the NFL.
  • C. Matta
    Matta is a surname most prominently associated with Thad Matta, a successful American college basketball coach known for his tenures at Xavier and Ohio State.
  • D. Matta
    Matta is a town located in Pakistan’s Swat District, known for its agricultural surroundings and scenic mountainous landscape.
  • E. Molinaro
    Molinaro is an Italian occupational surname, historically associated with millers and derived from the same root as "Molinero."
  • 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: Mazz
Triple: [Tejano music, notableArtist, Mazz]
Generated description
Mazz is a pioneering and influential Tejano band known for modernizing the genre with a distinctive blend of traditional Mexican music and contemporary pop sounds.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mazz
Target entity description: Mazz is a pioneering and influential Tejano band known for modernizing the genre with a distinctive blend of traditional Mexican music and contemporary pop sounds.
  • A. Mazzantini
    Mazzantini is an Italian surname most notably borne by the contemporary novelist and actress Margaret Mazzantini.
  • B. Martz
    Martz is a surname most notably associated with Mike Martz, an American football coach known for his innovative offensive strategies in the NFL.
  • C. Matta
    Matta is a town located in Pakistan’s Swat District, known for its agricultural surroundings and scenic mountainous landscape.
  • D. Matta
    Matta is a surname most prominently associated with Thad Matta, a successful American college basketball coach known for his tenures at Xavier and Ohio State.
  • E. Molinaro
    Molinaro is an Italian occupational surname, historically associated with millers and derived from the same root as "Molinero."
  • 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_69ca8433ec308190b8b25a6fe359c34c completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cde87e1f908190a53865420f2b8f93 completed April 2, 2026, 3:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e5d98a148190ada7082adb98ddaa completed April 5, 2026, 10:44 p.m.
NEDg Description generation batch_69d2e73e4d5081909f0068d3bed583d3 completed April 5, 2026, 10:50 p.m.
NED2 Entity disambiguation (via description) batch_69d2e7eea4d88190a2ec6d22a83934b3 completed April 5, 2026, 10:53 p.m.
Created at: March 30, 2026, 9:06 p.m.