Triple

T5199954
Position Surface form Disambiguated ID Type / Status
Subject Domino Vitali E117367 entity
Predicate basedOn P98 FINISHED
Object Domino Vitali (novel character) E117367 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: Domino Vitali (novel character) | Statement: [Domino Vitali, basedOn, Domino Vitali (novel character)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Domino Vitali (novel character)
Context triple: [Domino Vitali, basedOn, Domino Vitali (novel character)]
  • A. Domino Vitali chosen
    Domino Vitali is a Bond girl and key ally of James Bond in the James Bond film and novel "Thunderball," known for her relationship with the villain Emilio Largo and her pivotal role in his downfall.
  • B. Vince
    Vince is a given name commonly used as a short form of Vincent.
  • C. Vitaly
    Vitaly is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
  • D. Vinnie
    Vinnie is a given name, often a diminutive of Vincent, used for both real people and fictional characters.
  • E. Vinces
    Vinces is a small town and canton seat in Ecuador’s Los Ríos Province, known for its agricultural surroundings and riverside setting.
  • 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_69bd4462ed04819084fcb01eb9d2fa74 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7a209d7c81908fa0d3bf2c482a34 completed March 20, 2026, 4:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69bee0a37d8c8190842de23da26dd2cb completed March 21, 2026, 6:17 p.m.
Created at: March 20, 2026, 1:47 p.m.