Triple

T7022801
Position Surface form Disambiguated ID Type / Status
Subject Transformers: Revenge of the Fallen E162867 entity
Predicate castMember P1668 FINISHED
Object Ramon Rodriguez 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: Ramon Rodriguez | Statement: [Transformers: Revenge of the Fallen, castMember, Ramon Rodriguez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ramon Rodriguez
Context triple: [Transformers: Revenge of the Fallen, castMember, Ramon Rodriguez]
  • 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. Sergio Avelar
    Sergio Avelar is an actor known for his role in the inspirational sports drama film "McFarland, USA."
  • C. Armando Villarreal
    Armando Villarreal is an American professional soccer referee who officiates in Major League Soccer and has been selected for high-profile matches and tournaments.
  • D. Miguel Briseño
    Miguel Briseño is a musician best known as a member of the American indie folk band Lord Huron.
  • E. Reynaldo Villalobos
    Reynaldo Villalobos is a cinematographer best known for his work on notable American films such as the comedy classic "9 to 5."
  • 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_69c6885b26248190a857541e3d10e299 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e1edf3608190b7ba0bfb85710e97 completed March 27, 2026, 8 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7757c87788190b09ced669b5c4d83 completed March 28, 2026, 6:30 a.m.
Created at: March 27, 2026, 2:35 p.m.