Triple

T8514779
Position Surface form Disambiguated ID Type / Status
Subject CSI: Vegas E201544 entity
Predicate portrayedBy P1507 FINISHED
Object Hugo Ramirez|Mel Rodriguez
Hugo Ramirez, played by actor Mel Rodriguez, is a character in the crime drama television series CSI: Vegas.
 E738778 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: Hugo Ramirez|Mel Rodriguez | Statement: [CSI: Vegas, portrayedBy, Hugo Ramirez|Mel Rodriguez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hugo Ramirez|Mel Rodriguez
Context triple: [CSI: Vegas, portrayedBy, Hugo Ramirez|Mel Rodriguez]
  • A. Marcel Rodriguez
    Marcel Rodriguez is a screenwriter best known for co-writing the family fantasy film "The Adventures of Sharkboy and Lavagirl in 3-D."
  • B. Ramiro Rodriguez
    Ramiro Rodriguez is an American actor best known for his role in the inspirational sports drama film "McFarland, USA."
  • C. Héctor Vivanco
    Héctor Vivanco is a notable individual recognized for achievements significant enough to be associated with the surname Vivanco.
  • D. Rodriguez
    Rodriguez is a common Spanish-origin surname widely borne across the Spanish-speaking world and beyond.
  • E. Hector Ruiz
    Hector Ruiz is a Mexican-American engineer and business executive best known for serving as CEO and chairman of semiconductor company AMD, where he led major strategic initiatives including the acquisition of ATI.
  • 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: Hugo Ramirez|Mel Rodriguez
Triple: [CSI: Vegas, portrayedBy, Hugo Ramirez|Mel Rodriguez]
Generated description
Hugo Ramirez, played by actor Mel Rodriguez, is a character in the crime drama television series CSI: Vegas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hugo Ramirez|Mel Rodriguez
Target entity description: Hugo Ramirez, played by actor Mel Rodriguez, is a character in the crime drama television series CSI: Vegas.
  • A. Marcel Rodriguez
    Marcel Rodriguez is a screenwriter best known for co-writing the family fantasy film "The Adventures of Sharkboy and Lavagirl in 3-D."
  • B. Ramiro Rodriguez
    Ramiro Rodriguez is an American actor best known for his role in the inspirational sports drama film "McFarland, USA."
  • C. Héctor Vivanco
    Héctor Vivanco is a notable individual recognized for achievements significant enough to be associated with the surname Vivanco.
  • D. Rodriguez
    Rodriguez is a common Spanish-origin surname widely borne across the Spanish-speaking world and beyond.
  • E. Hector Ruiz
    Hector Ruiz is a Mexican-American engineer and business executive best known for serving as CEO and chairman of semiconductor company AMD, where he led major strategic initiatives including the acquisition of ATI.
  • 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_69ca8320e5748190ac2c585a0bba8193 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe60e12848190a4a3dfa457aef275 completed March 31, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4e56ef088190b4f938486bbb7962 completed April 2, 2026, 11:09 a.m.
NEDg Description generation batch_69ce4ffac8a08190bc2131c0d260ca39 completed April 2, 2026, 11:16 a.m.
NED2 Entity disambiguation (via description) batch_69ce5117c7508190b74821d029d226c6 completed April 2, 2026, 11:20 a.m.
Created at: March 30, 2026, 6:15 p.m.