Triple

T23006299
Position Surface form Disambiguated ID Type / Status
Subject Udo Kier E572778 entity
Predicate collaboratedWith P435 FINISHED
Object Dario 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: Dario Argento | Statement: [Udo Kier, collaboratedWith, Dario Argento]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dario Argento
Context triple: [Udo Kier, collaboratedWith, Dario Argento]
  • A. 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.
  • B. Eusebio Bava
    Eusebio Bava was a 19th-century Italian general and statesman who played a key role in the military campaigns leading up to the unification of Italy.
  • C. Lucio Fulci
    Lucio Fulci was an Italian film director, screenwriter, and actor best known for his influential and graphic horror and giallo films of the 1970s and 1980s.
  • D. Joe D'Amato
    Joe D'Amato was an Italian filmmaker best known for his prolific work in low-budget horror and erotic cinema from the 1970s through the 1990s.
  • E. Christopher D'Amato
    Christopher D'Amato is known primarily as the son of former U.S. Senator Alfonse D'Amato.
  • 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_69e245b6a3ac81908087599eefe3e365 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1835706dc8190b3f9743c0f336bb2 completed April 29, 2026, 4:04 a.m.
Created at: April 17, 2026, 3:51 p.m.