Triple

T5693256
Position Surface form Disambiguated ID Type / Status
Subject Tony Mendez E125475 entity
Predicate familyName P18 FINISHED
Object Mendez E225948 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: Mendez | Statement: [Tony Mendez, familyName, Mendez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mendez
Context triple: [Tony Mendez, familyName, Mendez]
  • A. Menéndez chosen
    Menéndez is a Spanish-origin surname borne by numerous notable figures in politics, the military, arts, and public life across the Spanish-speaking world.
  • B. Duarte
    Duarte is a suburban city in Los Angeles County, California, located in the San Gabriel Valley along the foothills of the San Gabriel Mountains.
  • C. Domínguez
    Domínguez is a Spanish surname notably borne by the actor Antonio Banderas, whose full birth name is José Antonio Domínguez Bandera.
  • D. Gonsalez
    Gonsalez is one of the central vigilante protagonists in Edgar Wallace’s classic crime thriller series "The Four Just Men."
  • E. Godínez
    Godínez is a Spanish-language surname of Iberian origin commonly found across Latin America and among Hispanic communities worldwide.
  • 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_69c0082bb19c8190823a4facd3cba79b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c023e7dbe48190850b501f223614e3 completed March 22, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a4f2bfc8190bc56c094f9ae9ce1 completed March 22, 2026, 9:08 p.m.
Created at: March 22, 2026, 3:44 p.m.