Triple

T14833971
Position Surface form Disambiguated ID Type / Status
Subject Fool for Love E348779 entity
Predicate performer P1363 FINISHED
Object Miguel Briseño NE ONDG

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: [Fool for Love, performer, Miguel Briseño]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miguel Briseño
Context triple: [Fool for Love, performer, Miguel Briseño]
  • A. Miguel Briseño
    Miguel Briseño is a musician best known as a member of the American indie folk band Lord Huron.
  • B. Enrique Cruz
    Enrique Cruz is a kindhearted airport food-service worker in the film "The Terminal" who befriends stranded traveler Viktor Navorski.
  • C. Guillermo Magaña
    Guillermo Magaña is a person notable enough to be recognized as a bearer of the surname Magaña, though specific widely known public details about him are not clearly established.
  • D. Armando Bermúdez
    Armando Bermúdez was a prominent Dominican figure after whom one of the country’s major national parks, located in the Cordillera Central, is named.
  • E. Raúl Dávalos
    Raúl Dávalos is an editor known for his work on the film "Cronos."
  • 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: [Fool for Love, performer, Miguel Briseño]
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Miguel Briseño
Target entity description: Miguel Briseño is a performer known for his role in the production of "Fool for Love."
  • A. Miguel Briseño
    Miguel Briseño is a musician best known as a member of the American indie folk band Lord Huron.
  • B. Enrique Cruz
    Enrique Cruz is a kindhearted airport food-service worker in the film "The Terminal" who befriends stranded traveler Viktor Navorski.
  • C. Guillermo Magaña
    Guillermo Magaña is a person notable enough to be recognized as a bearer of the surname Magaña, though specific widely known public details about him are not clearly established.
  • D. Armando Bermúdez
    Armando Bermúdez was a prominent Dominican figure after whom one of the country’s major national parks, located in the Cordillera Central, is named.
  • E. Raúl Dávalos
    Raúl Dávalos is an editor known for his work on the film "Cronos."
  • F. None of above. chosen

Provenance (4 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_69d822ec69008190a9232caa68836872 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded075af0881908fb35a9e7ee46749 completed April 14, 2026, 11:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01953c493c819084850ab8e7f0d261 completed May 11, 2026, 8:37 a.m.
NEDg Description generation batch_6a01963971248190b5e2b0b77eb7cbfe in_progress May 11, 2026, 8:41 a.m.
Created at: April 10, 2026, 1:52 a.m.