Triple

T9212632
Position Surface form Disambiguated ID Type / Status
Subject Anthony Muñoz E221160 entity
Predicate child P120 FINISHED
Object Michael Muñoz
Michael Muñoz is the son of Pro Football Hall of Fame offensive tackle Anthony Muñoz and a former American football offensive lineman who played in college and briefly in the NFL.
 E792164 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: Michael Muñoz | Statement: [Anthony Muñoz, child, Michael Muñoz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Michael Muñoz
Context triple: [Anthony Muñoz, child, Michael Muñoz]
  • A. Mark Morales
    Mark Morales is a comic book writer best known for his work on the series "Uproar."
  • B. Miguel Briseño
    Miguel Briseño is a musician best known as a member of the American indie folk band Lord Huron.
  • C. Michele Tafoya
    Michele Tafoya is an American sportscaster best known for her long tenure as a sideline reporter on major NFL broadcasts, including Sunday Night Football.
  • D. Alex Garcia
    Alex Garcia is a film producer known for his work on major Hollywood blockbusters, including entries in the MonsterVerse franchise.
  • E. David Muñoz
    David Muñoz is a Spanish screenwriter best known for co-writing Guillermo del Toro’s acclaimed gothic horror film "The Devil’s Backbone."
  • 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: Michael Muñoz
Triple: [Anthony Muñoz, child, Michael Muñoz]
Generated description
Michael Muñoz is the son of Pro Football Hall of Fame offensive tackle Anthony Muñoz and a former American football offensive lineman who played in college and briefly in the NFL.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Michael Muñoz
Target entity description: Michael Muñoz is the son of Pro Football Hall of Fame offensive tackle Anthony Muñoz and a former American football offensive lineman who played in college and briefly in the NFL.
  • A. Mark Morales
    Mark Morales is a comic book writer best known for his work on the series "Uproar."
  • B. Miguel Briseño
    Miguel Briseño is a musician best known as a member of the American indie folk band Lord Huron.
  • C. Michele Tafoya
    Michele Tafoya is an American sportscaster best known for her long tenure as a sideline reporter on major NFL broadcasts, including Sunday Night Football.
  • D. Alex Garcia
    Alex Garcia is a film producer known for his work on major Hollywood blockbusters, including entries in the MonsterVerse franchise.
  • E. David Muñoz
    David Muñoz is a Spanish screenwriter best known for co-writing Guillermo del Toro’s acclaimed gothic horror film "The Devil’s Backbone."
  • 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_69ca83e9d0e081908bdb71097201a06c completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccda05406081909893bec3a092d3ce completed April 1, 2026, 8:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0c70fa90881909ba9e797ef24768b completed April 4, 2026, 8:08 a.m.
NEDg Description generation batch_69d0c976a0308190ba66990fe0a3f33e completed April 4, 2026, 8:19 a.m.
NED2 Entity disambiguation (via description) batch_69d0ce28aaf48190a1e6b4040353c6b9 completed April 4, 2026, 8:39 a.m.
Created at: March 30, 2026, 7:27 p.m.