Triple

T12225117
Position Surface form Disambiguated ID Type / Status
Subject Time Changer E291328 entity
Predicate starred P5563 FINISHED
Object Paul Rodriguez E620801 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: Paul Rodriguez | Statement: [Time Changer, starred, Paul Rodriguez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul Rodriguez
Context triple: [Time Changer, starred, Paul Rodriguez]
  • A. Paul Rodriguez chosen
    Paul Rodriguez is a Mexican-American stand-up comedian and actor known for his pioneering work in Latino comedy and numerous film and television roles since the 1980s.
  • B. Javier Pulido
    Javier Pulido is a Spanish comic book artist known for his clean, minimalist style and work on titles for major publishers like Marvel and DC.
  • C. Ramiro Rodriguez
    Ramiro Rodriguez is an American actor best known for his role in the inspirational sports drama film "McFarland, USA."
  • D. Wilfredo Gómez
    Wilfredo Gómez is a Puerto Rican former professional boxer renowned as one of the greatest super bantamweights in history, noted for his devastating punching power and multiple world titles.
  • E. Marco Antonio Pulido
    Marco Antonio Pulido is a notable individual recognized as a bearer of the Pulido surname.
  • 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_69d6ab668acc8190963ba424049d6aee completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91ca11f788190bad2efb6c83ffccb completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60aa9023881909f8373e02d2cad4b completed May 2, 2026, 2:31 p.m.
Created at: April 8, 2026, 9:51 p.m.