Triple

T22820063
Position Surface form Disambiguated ID Type / Status
Subject Kevin Alejandro E565201 entity
Predicate playedCharacter P1507 FINISHED
Object Jesus Velasquez
Jesus Velasquez is a fictional character from the television series "True Blood," known as a brujo (male witch) and the love interest of Lafayette Reynolds.
E1559773 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: Jesus Velasquez | Statement: [Kevin Alejandro, playedCharacter, Jesus Velasquez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jesus Velasquez
Context triple: [Kevin Alejandro, playedCharacter, Jesus Velasquez]
  • A. Carlos Reyes
    Carlos Reyes is a fictional Austin police officer and key ensemble character in the television drama series "9-1-1: Lone Star."
  • B. Diego Ramos
    Diego Ramos is a person known primarily as a family member of Dani Ramos.
  • C. Juan Vasquez
    Juan Vasquez is a songwriter credited for his work on the hit single "Taki Taki."
  • D. Diego Vasquez
    Diego Vasquez is a fictional character portrayed by Brazilian actor Bruno Campos, best known from his work in American television and film.
  • E. Diego Cortez
    Diego Cortez was an influential American art curator and cultural figure closely associated with New York’s downtown avant-garde scene of the late 1970s and early 1980s.
  • 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: Jesus Velasquez
Triple: [Kevin Alejandro, playedCharacter, Jesus Velasquez]
Generated description
Jesus Velasquez is a fictional character from the television series "True Blood," known as a brujo (male witch) and the love interest of Lafayette Reynolds.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jesus Velasquez
Target entity description: Jesus Velasquez is a fictional character from the television series "True Blood," known as a brujo (male witch) and the love interest of Lafayette Reynolds.
  • A. Carlos Reyes
    Carlos Reyes is a fictional Austin police officer and key ensemble character in the television drama series "9-1-1: Lone Star."
  • B. Diego Ramos
    Diego Ramos is a person known primarily as a family member of Dani Ramos.
  • C. Juan Vasquez
    Juan Vasquez is a songwriter credited for his work on the hit single "Taki Taki."
  • D. Diego Vasquez
    Diego Vasquez is a fictional character portrayed by Brazilian actor Bruno Campos, best known from his work in American television and film.
  • E. Diego Cortez
    Diego Cortez was an influential American art curator and cultural figure closely associated with New York’s downtown avant-garde scene of the late 1970s and early 1980s.
  • 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_69e2458426188190b58b8ab4844fe420 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17dcf39a88190bec26affc304236d completed April 29, 2026, 3:41 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bb9b004d48190b2e6ce9f62059448 completed May 19, 2026, 1:15 a.m.
NEDg Description generation batch_6a0bbb38da508190bc1d9bc8538cdbe2 completed May 19, 2026, 1:22 a.m.
NED2 Entity disambiguation (via description) batch_6a0bbc1bd0808190a0a5f8f603308b45 completed May 19, 2026, 1:25 a.m.
Created at: April 17, 2026, 3:33 p.m.