Triple

T20432206
Position Surface form Disambiguated ID Type / Status
Subject Asia Argento E501159 entity
Predicate familyName P18 FINISHED
Object Argento 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: Argento | Statement: [Asia Argento, familyName, Argento]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Argento
Context triple: [Asia Argento, familyName, Argento]
  • A. Savini
    Savini is an Italian surname most famously associated with Tom Savini, a renowned special effects and makeup artist in horror cinema.
  • B. Tabucchi
    Tabucchi is the surname of Antonio Tabucchi, an Italian writer and academic known for his works inspired by Portuguese literature and the legacy of Fernando Pessoa.
  • C. Guillermin
    Guillermin is a French-origin surname most notably associated with British film director John Guillermin, known for works such as "The Towering Inferno" and the 1976 remake of "King Kong."
  • D. Dario Argento chosen
    Dario Argento is an Italian filmmaker renowned as a master of giallo and horror cinema, known for his visually stylized, psychologically intense thrillers.
  • E. Visconti
    Visconti is a powerful medieval Italian noble family that ruled Milan and its territories for centuries, producing influential dukes and patrons of the arts.
  • 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_69e0b4ab3cfc8190ac9bf32e932316b1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e685eaa4c8819083d1d7aee0f998a6 completed April 20, 2026, 8 p.m.
Created at: April 16, 2026, 11:31 a.m.