Triple

T7626353
Position Surface form Disambiguated ID Type / Status
Subject Jorge Luis Borges E172642 entity
Predicate spouse P13 FINISHED
Object Elsa Astete Millán E172642 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: Elsa Astete Millán | Statement: [Jorge Luis Borges, spouse, Elsa Astete Millán]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elsa Astete Millán
Context triple: [Jorge Luis Borges, spouse, Elsa Astete Millán]
  • A. Elsa Astete Millán chosen
    Elsa Astete Millán was an Argentine woman best known as the first wife of renowned writer Jorge Luis Borges.
  • B. Catalina Álvarez del Casal
    Catalina Álvarez del Casal was a Colombian woman best known as the mother of independence leader Antonio Nariño.
  • C. Esther Fernández
    Esther Fernández was a prominent Mexican film actress known for her work during the Golden Age of Mexican cinema.
  • D. María Elena
    María Elena is a small Chilean mining town in the Antofagasta Region, historically known as one of the last nitrate (saltpeter) company towns in the world.
  • E. María Elena
    María Elena is a passionate, volatile Spanish artist portrayed by Penélope Cruz in the film "Vicky Cristina Barcelona."
  • 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_69c699517e348190bd3348b6889200f2 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6fa8150ac8190908aec411b0f4e50 completed March 27, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8d69516a88190912a9574aef3d1f8 completed March 29, 2026, 7:36 a.m.
Created at: March 27, 2026, 3:56 p.m.