Triple

T6812591
Position Surface form Disambiguated ID Type / Status
Subject Nico E156672 entity
Predicate shortFormOf P43 FINISHED
Object Dominic E65702 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: Dominic | Statement: [Nico, shortFormOf, Dominic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dominic
Context triple: [Nico, shortFormOf, Dominic]
  • A. Dominic chosen
    Dominic is a central character in the romantic comedy film "Think Like a Man," portrayed as an aspiring chef and one of the men whose love life is influenced by Steve Harvey’s relationship advice.
  • B. Dominic
    Dominic is the given first name of the American actor and comedian Don Ameche, known for his work in classic Hollywood films and radio.
  • C. Domenico
    Domenico is a masculine given name of Italian origin, historically borne by several notable figures including architects, artists, and religious leaders.
  • D. Aloysius
    Aloysius is a masculine given name of Latinized form, historically borne by several saints and used in various European languages.
  • E. Dominic Guard
    Dominic Guard is a British actor best known for his acclaimed childhood performance in the 1971 film "The Go-Between," for which he won a BAFTA Award for Most Promising Newcomer.
  • 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_69c68828b26c819090fe9df7612bbc27 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d329861881909f65bd1017ea384b completed March 27, 2026, 6:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723d775a48190bfdf5b6a52339833 completed March 28, 2026, 12:41 a.m.
Created at: March 27, 2026, 2:17 p.m.