Triple

T22100537
Position Surface form Disambiguated ID Type / Status
Subject Phenomena E546157 entity
Predicate starring P1507 FINISHED
Object Fiore 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: Fiore Argento | Statement: [Phenomena, starring, Fiore Argento]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fiore Argento
Context triple: [Phenomena, starring, Fiore Argento]
  • A. Fiore Argento chosen
    Fiore Argento is an Italian actress known for her roles in horror films and as the daughter of director Dario Argento.
  • B. Salvatore Argento
    Salvatore Argento was an Italian film producer and distributor best known as the father and early career supporter of horror director Dario Argento.
  • C. Gianfrancesco Penni
    Gianfrancesco Penni was an Italian Renaissance painter, a close collaborator and pupil of Raphael, known for contributing to major Vatican frescoes.
  • D. Agenore Incrocci
    Agenore Incrocci was an Italian screenwriter, best known as part of the celebrated writing duo Age & Scarpelli, who helped shape classic Italian cinema and comedy.
  • E. Giuseppe Ferlini
    Giuseppe Ferlini was a 19th-century Italian explorer and treasure hunter notorious for demolishing Nubian pyramids in Sudan in his search for gold and antiquities.
  • 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_69e11e378dc08190896d6a51597afd5a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1291501508190ad5689be5abb2ba6 completed April 28, 2026, 9:39 p.m.
Created at: April 16, 2026, 8:30 p.m.