Triple

T3313045
Position Surface form Disambiguated ID Type / Status
Subject Lord Huron E69617 entity
Predicate hasMember P10 FINISHED
Object Miguel Briseño
Miguel Briseño is a musician best known as a member of the American indie folk band Lord Huron.
 E425433 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: Miguel Briseño | Statement: [Lord Huron, hasMember, Miguel Briseño]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Miguel Briseño
Context triple: [Lord Huron, hasMember, Miguel Briseño]
  • A. Raúl Dávalos
    Raúl Dávalos is an editor known for his work on the film "Cronos."
  • B. 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.
  • C. Enrique Arce
    Enrique Arce is a Spanish actor best known internationally for his role as the unscrupulous Arturo Román in the hit series "Money Heist."
  • D. David Mendoza
    David Mendoza was a composer and conductor active in early 20th-century cinema, known for his work on silent film scores.
  • E. Alex Garcia
    Alex Garcia is a film producer known for his work on major Hollywood blockbusters, including entries in the MonsterVerse franchise.
  • 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: Miguel Briseño
Triple: [Lord Huron, hasMember, Miguel Briseño]
Generated description
Miguel Briseño is a musician best known as a member of the American indie folk band Lord Huron.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Miguel Briseño
Target entity description: Miguel Briseño is a musician best known as a member of the American indie folk band Lord Huron.
  • A. Raúl Dávalos
    Raúl Dávalos is an editor known for his work on the film "Cronos."
  • B. 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.
  • C. Enrique Arce
    Enrique Arce is a Spanish actor best known internationally for his role as the unscrupulous Arturo Román in the hit series "Money Heist."
  • D. David Mendoza
    David Mendoza was a composer and conductor active in early 20th-century cinema, known for his work on silent film scores.
  • E. Alex Garcia
    Alex Garcia is a film producer known for his work on major Hollywood blockbusters, including entries in the MonsterVerse franchise.
  • 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_69ad85a0bb048190a5458d2738012d61 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0ef548481908b3aabc7052c70d8 completed March 8, 2026, 5:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b73c409081909c583019d7ec1d4a completed March 14, 2026, 7:30 p.m.
NEDg Description generation batch_69b5b7e7f48881908ebb773499aebd5e completed March 14, 2026, 7:32 p.m.
NED2 Entity disambiguation (via description) batch_69b5b881c80081909af084ff4b43b01e completed March 14, 2026, 7:35 p.m.
Created at: March 8, 2026, 3:11 p.m.