Triple

T3286585
Position Surface form Disambiguated ID Type / Status
Subject Danny Trejo E68994 entity
Predicate hasBusiness P21206 FINISHED
Object Trejo's Tacos
Trejo's Tacos is a Los Angeles-based Mexican restaurant chain founded by actor Danny Trejo, known for its street-style tacos and bold, casual dining vibe.
 E344172 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: Trejo's Tacos | Statement: [Danny Trejo, hasBusiness, Trejo's Tacos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Trejo's Tacos
Context triple: [Danny Trejo, hasBusiness, Trejo's Tacos]
  • A. Anna’s Taqueria
    Anna’s Taqueria is a popular Boston-area fast-casual Mexican restaurant chain known for its made-to-order burritos and tacos.
  • B. The Jaleo
    The Jaleo is the English title of John Singer Sargent’s famous 1882 painting depicting a dramatic Spanish gypsy dance scene.
  • C. TACO
    TACO is a peer-reviewed scientific journal published by the ACM that focuses on research in computer architecture and code optimization.
  • D. Delicias
    Delicias is an important agricultural and industrial city in the Mexican state of Chihuahua, known especially for its cotton and pecan production.
  • E. Nacho Libre
    Nacho Libre is a 2006 comedy film starring Jack Black as a monastery cook who becomes a masked luchador to support his orphanage.
  • 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: Trejo's Tacos
Triple: [Danny Trejo, hasBusiness, Trejo's Tacos]
Generated description
Trejo's Tacos is a Los Angeles-based Mexican restaurant chain founded by actor Danny Trejo, known for its street-style tacos and bold, casual dining vibe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Trejo's Tacos
Target entity description: Trejo's Tacos is a Los Angeles-based Mexican restaurant chain founded by actor Danny Trejo, known for its street-style tacos and bold, casual dining vibe.
  • A. Anna’s Taqueria
    Anna’s Taqueria is a popular Boston-area fast-casual Mexican restaurant chain known for its made-to-order burritos and tacos.
  • B. The Jaleo
    The Jaleo is the English title of John Singer Sargent’s famous 1882 painting depicting a dramatic Spanish gypsy dance scene.
  • C. TACO
    TACO is a peer-reviewed scientific journal published by the ACM that focuses on research in computer architecture and code optimization.
  • D. Delicias
    Delicias is an important agricultural and industrial city in the Mexican state of Chihuahua, known especially for its cotton and pecan production.
  • E. Nacho Libre
    Nacho Libre is a 2006 comedy film starring Jack Black as a monastery cook who becomes a masked luchador to support his orphanage.
  • 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_69ad859d45748190b0742408c954b39f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb05779d08190a5517951e71b1380 completed March 8, 2026, 5:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e85b6a1081908581b2040b8ce261 completed March 12, 2026, 4:22 p.m.
NEDg Description generation batch_69b2e9783918819085ea73a8ed815f65 completed March 12, 2026, 4:27 p.m.
NED2 Entity disambiguation (via description) batch_69b2ea0189948190b1dab60aecf04b73 completed March 12, 2026, 4:29 p.m.
Created at: March 8, 2026, 3:10 p.m.