Triple

T19095570
Position Surface form Disambiguated ID Type / Status
Subject Irma Vep (TV miniseries) E467394 entity
Predicate castMember P1668 FINISHED
Object Adria Arjona NE NERFINISHED

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: Adria Arjona | Statement: [Irma Vep (TV miniseries), castMember, Adria Arjona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adria Arjona
Context triple: [Irma Vep (TV miniseries), castMember, Adria Arjona]
  • A. Adria Arjona chosen
    Adria Arjona is a Puerto Rican–Guatemalan actress known for her roles in films like "Pacific Rim: Uprising" and "Morbius" and TV series such as "Good Omens" and "Andor."
  • B. Adriana Varela
    Adriana Varela is an acclaimed Argentine tango singer known for her intense, smoky vocal style and modern interpretations of classic tangos.
  • C. Andrea Guerra
    Andrea Guerra is an Italian composer best known for his film scores, including his work on major international productions.
  • D. Florencia Valeri
    Florencia Valeri is known as the wife of Argentine former professional footballer Diego Valeri.
  • E. Silvia Navarro
    Silvia Navarro is a Mexican actress best known for her leading roles in popular telenovelas and television dramas.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd05ac4c8190b1967d8f97f3fb2f completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e368f20c8190bd84d2ba320991ac completed April 20, 2026, 8:27 a.m.
Created at: April 10, 2026, 12:04 p.m.