Triple

T19268349
Position Surface form Disambiguated ID Type / Status
Subject Jack & Sarah E481849 entity
Predicate producer P490 FINISHED
Object Dominic Anciano 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: Dominic Anciano | Statement: [Jack & Sarah, producer, Dominic Anciano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dominic Anciano
Context triple: [Jack & Sarah, producer, Dominic Anciano]
  • A. Dominic Anciano chosen
    Dominic Anciano is a British writer, director, and producer best known for his work in television comedy and film, including co-creating influential UK comedy projects.
  • B. Dominic Sessa
    Dominic Sessa is an American actor best known for his breakout role in the acclaimed 2023 film "The Holdovers."
  • C. Dominic Armato
    Dominic Armato is an American voice actor best known for portraying the witty pirate protagonist Guybrush Threepwood in the Monkey Island video game series.
  • D. Dominic Casciato
    Dominic Casciato is a professional soccer coach best known for managing the USL League One club Union Omaha.
  • E. Dominic Fumusa
    Dominic Fumusa is an American actor known for his work in film, television, and theater, including prominent roles in projects like the series "Nurse Jackie" and various feature films.
  • 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_69d8e8ce54cc8190998418ff1f66ef28 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fbb68d0c819083ba0ce680dd7d99 completed April 20, 2026, 10:11 a.m.
Created at: April 10, 2026, 1:29 p.m.