Triple

T8631024
Position Surface form Disambiguated ID Type / Status
Subject Dominik E204401 entity
Predicate hasVariant P455 FINISHED
Object Dominic E358421 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: [Dominik, hasVariant, Dominic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dominic
Context triple: [Dominik, hasVariant, Dominic]
  • A. Dominic chosen
    Dominic is the given first name of the American actor and comedian Don Ameche, known for his work in classic Hollywood films and radio.
  • B. Dominic
    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.
  • C. Dominic Greene
    Dominic Greene is the main antagonist in the James Bond film "Quantum of Solace," a seemingly philanthropic businessman who secretly orchestrates environmental and political manipulation for personal gain.
  • D. Domenico
    Domenico is a masculine given name of Italian origin, historically borne by several notable figures including architects, artists, and religious leaders.
  • E. Aloysius
    Aloysius is a masculine given name of Latinized form, historically borne by several saints and used in various European languages.
  • 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_69ca834b903c8190add96cc651e1a477 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc47417e9c819099739ae901449308 completed March 31, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69cecca2a3e48190b74ed3c948196409 completed April 2, 2026, 8:08 p.m.
Created at: March 30, 2026, 6:27 p.m.