Triple

T14990679
Position Surface form Disambiguated ID Type / Status
Subject Vega E373825 entity
Predicate hasVariant P455 FINISHED
Object De la Vega E675885 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: De la Vega | Statement: [Vega, hasVariant, De la Vega]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: De la Vega
Context triple: [Vega, hasVariant, De la Vega]
  • A. Usnavi de la Vega
    Usnavi de la Vega is the bodega owner and central narrator of Lin-Manuel Miranda’s musical "In the Heights," whose story anchors the show’s portrait of a tight-knit Latino community in Washington Heights.
  • B. de la Vega chosen
    De la Vega is a Spanish surname historically associated with notable figures in literature, nobility, and colonial administration.
  • C. Fenix Calderon
    Fenix Calderon is a fictional Mexican drug cartel enforcer and key antagonist in the Fast & Furious film franchise.
  • D. Diego de la Vega
    Diego de la Vega is the secret identity of Zorro, the fictional Californio nobleman and masked vigilante hero created by Johnston McCulley.
  • E. Don Diego Vega
    Don Diego Vega is the secret identity of Zorro, a masked vigilante nobleman who defends the oppressed in early 19th-century California.
  • 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_69d85ccc84388190aa151e5173370c8d completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded715db408190b44e8a8452c79764 completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe969683348190bb4688f24227af88 completed May 9, 2026, 2:06 a.m.
Created at: April 10, 2026, 2:53 a.m.