Triple

T12264094
Position Surface form Disambiguated ID Type / Status
Subject Pepita Tudó E292297 entity
Predicate name P16 FINISHED
Object Pepita Tudó E292297 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: Pepita Tudó | Statement: [Pepita Tudó, name, Pepita Tudó]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pepita Tudó
Context triple: [Pepita Tudó, name, Pepita Tudó]
  • A. Pepita Tudó chosen
    Pepita Tudó was a Spanish woman best known as the mistress of Manuel de Godoy and a likely muse for Francisco Goya, possibly inspiring his famous painting "La Maja Vestida."
  • B. Romola de Pulszky
    Romola de Pulszky was a Hungarian socialite and writer best known as the wife and later biographer of legendary ballet dancer Vaslav Nijinsky.
  • C. Gizella Pálos
    Gizella Pálos was the wife and long-time partner of pioneering Hungarian psychoanalyst Sándor Ferenczi, closely connected to the early psychoanalytic movement in Budapest.
  • D. Erzsébet Szentesi
    Erzsébet Szentesi was the wife of Ferenc Szálasi, the leader of Hungary’s fascist Arrow Cross Party and head of state during the final months of World War II.
  • E. Márta Borbíró
    Márta Borbíró was the wife of Hungarian physiologist and Nobel laureate Albert Szent-Györgyi.
  • 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_69d6ab6856488190b5d31178d5015f8e completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cdc42988190b4e2a6591a6f919d completed April 10, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60ac3ce008190856a917c2c75862a completed May 2, 2026, 2:31 p.m.
Created at: April 8, 2026, 9:52 p.m.