Triple

T18868261
Position Surface form Disambiguated ID Type / Status
Subject Señora de Meirás E461496 entity
Predicate grantedTo P168 FINISHED
Object Carmen Polo NE NERFINISHED

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: Carmen Polo | Statement: [Señora de Meirás, grantedTo, Carmen Polo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carmen Polo
Context triple: [Señora de Meirás, grantedTo, Carmen Polo]
  • A. Carmen Polo chosen
    Carmen Polo was a Spanish noblewoman best known as the wife of dictator Francisco Franco and a prominent figure in Francoist Spain’s social and political elite.
  • B. Carmen Larbalestier
    Carmen Larbalestier is a British woman best known as the mother of seven-time Formula One World Champion Lewis Hamilton.
  • C. Mercedes Colomar
    Mercedes Colomar is a central character in the noir-inspired adventure game Grim Fandango, known as the virtuous and resourceful soul whom protagonist Manny Calavera strives to protect and accompany through the Land of the Dead.
  • D. Carmen Valverde
    Carmen Valverde was the wife of Venezuelan statesman and two-time president Rómulo Betancourt.
  • E. Maria Cerezo
    Maria Cerezo was the wife of Italian explorer and cartographer Amerigo Vespucci, after whom the Americas are named.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dcfb7b9c8190854e7b171b98ea2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c2a6d1d081909b6dab2a5166a317 completed April 20, 2026, 6:07 a.m.
Created at: April 10, 2026, 11:57 a.m.