Triple

T15592673
Position Surface form Disambiguated ID Type / Status
Subject Tonino Delli Colli E374782 entity
Predicate workedWith P398 FINISHED
Object Damiano Damiani E1215807 NE FINISHED

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: [Tonino Delli Colli, workedWith, Damiano Damiani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Damiano Damiani
Context triple: [Tonino Delli Colli, workedWith, 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. Stefano Rulli
    Stefano Rulli is an Italian screenwriter best known for co-writing acclaimed films and television works, including the award-winning epic drama "La meglio gioventù."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d85cce25008190b13b52745fbd719b completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e5e43d48190a8fd367f13f1c7e1 completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_6a007d9849a08190a575f19e816e6df2 completed May 10, 2026, 12:44 p.m.
Created at: April 10, 2026, 4:12 a.m.