Triple

T14574594
Position Surface form Disambiguated ID Type / Status
Subject Ramón Rodríguez E342008 entity
Predicate name P16 FINISHED
Object Ramón Rodríguez E342008 NE FINISHED

How this triple was built (2 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: Ramón Rodríguez | Statement: [Ramón Rodríguez, name, Ramón Rodríguez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ramón Rodríguez
Context triple: [Ramón Rodríguez, name, Ramón Rodríguez]
  • A. Ramón Rodríguez chosen
    Ramón Rodríguez is a Puerto Rican-American actor known for his roles in action and crime films and television series, including prominent parts in projects like "Transformers: Revenge of the Fallen" and "The Wire."
  • B. Vicente Romo
    Vicente Romo is a former Mexican Major League Baseball pitcher known for his relief work in the late 1960s and 1970s, particularly with the Cleveland Indians and Boston Red Sox.
  • C. Reynaldo Villalobos
    Reynaldo Villalobos is a cinematographer best known for his work on notable American films such as the comedy classic "9 to 5."
  • D. Raúl Chávez
    Raúl Chávez is a former Venezuelan professional baseball catcher who played in Major League Baseball, primarily known for his defensive skills behind the plate.
  • E. Ramiro Rodriguez
    Ramiro Rodriguez is an American actor best known for his role in the inspirational sports drama film "McFarland, USA."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d822dcc6248190bed689984bceb0e2 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb3f49d58819094fcd2a702e146cb completed April 14, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a006065741c8190ad4ceb6bd3d60f9f completed May 10, 2026, 10:39 a.m.
Created at: April 10, 2026, 1:24 a.m.