Triple

T12751497
Position Surface form Disambiguated ID Type / Status
Subject Gaspar de Guzmán E304743 entity
Predicate mother P120 FINISHED
Object María Pimentel E304743 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: María Pimentel | Statement: [Gaspar de Guzmán, mother, María Pimentel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: María Pimentel
Context triple: [Gaspar de Guzmán, mother, María Pimentel]
  • A. María Pimentel chosen
    María Pimentel was a Spanish noblewoman best known as the mother of Gaspar de Guzmán, the powerful Count-Duke of Olivares and chief minister to King Philip IV of Spain.
  • B. María Portillo
    María Portillo is a notable individual recognized for achievements significant enough to be associated with the surname Portillo.
  • C. María Valenzuela
    María Valenzuela is an Argentine actress known for her extensive work in television, film, and theater across several decades.
  • D. Dolores Zorreguieta
    Dolores Zorreguieta is an Argentine psychologist and the younger sister of Queen Máxima of the Netherlands.
  • E. Blanca Portillo
    Blanca Portillo is a Spanish actress and director known for her acclaimed work in film, television, and theater.
  • 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_69d7bdf1fcd081909ffb0e0d6fa3a07d completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96bd9555081908b0d027bc332b468 completed April 10, 2026, 9:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69f71f0a5a58819082111550a65a04b9 completed May 3, 2026, 10:10 a.m.
Created at: April 9, 2026, 5:27 p.m.