Triple

T14708526
Position Surface form Disambiguated ID Type / Status
Subject Capitán Vidal E345487 entity
Predicate portrayedBy P1507 FINISHED
Object Sergi López E70056 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: Sergi López | Statement: [Capitán Vidal, portrayedBy, Sergi López]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sergi López
Context triple: [Capitán Vidal, portrayedBy, Sergi López]
  • A. Sergi López chosen
    Sergi López is a Spanish actor best known internationally for his chilling portrayal of the sadistic Captain Vidal in Guillermo del Toro’s dark fantasy film "Pan’s Labyrinth."
  • B. Sergi Barjuán
    Sergi Barjuán is a retired Spanish left-back best known for his successful career with FC Barcelona and the Spanish national team in the 1990s and early 2000s.
  • C. Jordi Fernández
    Jordi Fernández is a Spanish professional basketball coach known for his roles as an NBA assistant and international head coach, including leading the Canadian national team.
  • D. Sergi Samper
    Sergi Samper is a Spanish defensive midfielder developed at FC Barcelona’s La Masia academy who has played professionally in Spain and Japan.
  • E. Àlex Pastor
    Àlex Pastor is a Spanish filmmaker and screenwriter known for co-writing and directing genre films such as the sci-fi thriller "Self/less."
  • 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_69d822e4a8c08190a155df736bb7bc13 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb609965081908f654bcb9eaaa145 completed April 14, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb8221a4819098937018f24a0b44 completed May 8, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:28 a.m.