Triple

T6029080
Position Surface form Disambiguated ID Type / Status
Subject Dominique E134253 entity
Predicate relatedName P3889 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: [Dominique, relatedName, Dominic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dominic
Context triple: [Dominique, relatedName, 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_69c0087515148190a97475d412563865 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0560fdc84819093abba13054ea1ee completed March 22, 2026, 8:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11cefa21081909defda4da9278116 completed March 23, 2026, 10:58 a.m.
Created at: March 22, 2026, 4:07 p.m.