Triple

T18589554
Position Surface form Disambiguated ID Type / Status
Subject Amityville Horror film series E454325 entity
Predicate notableDirector P4744 FINISHED
Object Damiano Damiani 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: Damiano Damiani | Statement: [Amityville Horror film series, notableDirector, Damiano Damiani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Damiano Damiani
Context triple: [Amityville Horror film series, notableDirector, Damiano Damiani]
  • A. Damiano Damiani chosen
    Damiano Damiani was an Italian film director and screenwriter known for his socially conscious crime dramas and political thrillers, as well as his work in genre cinema.
  • B. Stefano Dionisi
    Stefano Dionisi is an Italian actor known for his work in both European cinema and international films.
  • C. Gianluca Gregorini
    Gianluca Gregorini is the son of American actress and former model Barbara Bach.
  • D. Alessandro Antonelli
    Alessandro Antonelli was a 19th-century Italian architect best known for designing Turin’s iconic Mole Antonelliana.
  • E. Daniele Ricciarelli
    Daniele Ricciarelli, better known as Daniele da Volterra, was a 16th-century Italian Mannerist painter and sculptor closely associated with Michelangelo and noted for works such as the "Descent from the Cross."
  • 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_69d8d38ae7e081908a98df1251842402 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e545b4a2a0819098047ee81278bd9d completed April 19, 2026, 9:14 p.m.
Created at: April 10, 2026, 11:44 a.m.