Triple

T21813529
Position Surface form Disambiguated ID Type / Status
Subject Dami E538537 entity
Predicate relatedName P3889 FINISHED
Object Damiano 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 | Statement: [Dami, relatedName, Damiano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Damiano
Context triple: [Dami, relatedName, Damiano]
  • A. Damiano chosen
    Damiano is a surname most notably associated with Gerard Damiano, an American film director known for his influential work in adult cinema.
  • B. Pierluigi
    Pierluigi is the family name of the renowned Renaissance composer Giovanni Pierluigi da Palestrina, a central figure in 16th-century sacred music.
  • C. Damiano Damiani
    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.
  • D. Riccardo
    Riccardo is an Italian given name, equivalent to Richard in English.
  • E. Danilo
    Danilo is a masculine given name used in various Slavic and Romance languages, generally equivalent to Daniel and meaning "God is my judge."
  • 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_69e0c473f0f8819086c9d1b4a143bd67 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f07cc8e6808190bde4d0e0981e4117 completed April 28, 2026, 9:24 a.m.
Created at: April 16, 2026, 6:54 p.m.