Triple

T12437457
Position Surface form Disambiguated ID Type / Status
Subject Yolanda Ventura E297183 entity
Predicate familyName P18 FINISHED
Object Ventura E292526 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: Ventura | Statement: [Yolanda Ventura, familyName, Ventura]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ventura
Context triple: [Yolanda Ventura, familyName, Ventura]
  • A. Ventura
    Ventura is a Spanish given name historically borne by notable figures such as the 18th-century architect Ventura Rodríguez.
  • B. Ventura
    Ventura is a critically acclaimed 2019 soul, R&B, and funk-influenced studio album by American musician Anderson .Paak.
  • C. Ventura chosen
    Ventura is a surname most prominently associated with former Major League Baseball third baseman and manager Robin Ventura.
  • D. Ventura
    Ventura is a version of Apple's macOS operating system that introduced features like Stage Manager, Continuity Camera, and enhanced Mail and Safari capabilities.
  • E. Ventura, California
    Ventura, California is a coastal city in Southern California known for its beaches, historic downtown, and role as a gateway to the nearby Channel Islands.
  • 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_69d6ada166c48190b902972cd2408fa3 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d8c8fd481909b35ac504127a1b6 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6556686448190ad408b826ebc01c0 completed May 2, 2026, 7:49 p.m.
Created at: April 8, 2026, 9:55 p.m.