Triple

T8161007
Position Surface form Disambiguated ID Type / Status
Subject Museo Carmen Thyssen Málaga E190577 entity
Predicate namedAfter P63 FINISHED
Object Carmen Cervera E600085 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: Carmen Cervera | Statement: [Museo Carmen Thyssen Málaga, namedAfter, Carmen Cervera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carmen Cervera
Context triple: [Museo Carmen Thyssen Málaga, namedAfter, Carmen Cervera]
  • A. Carmen Cervera chosen
    Carmen Cervera is a Spanish socialite, art collector, and former Miss Spain best known for her stewardship of the Thyssen-Bornemisza art collection and her prominent role in European high society.
  • B. Carmen Laffón
    Carmen Laffón was a renowned Spanish painter and sculptor known for her poetic, introspective landscapes and intimate figurative works.
  • C. Carmen Rabassa
    Carmen Rabassa is known primarily as the wife of acclaimed American literary translator Gregory Rabassa.
  • D. María Cervera Rodríguez
    María Cervera Rodríguez is a notable individual who bears the Spanish surname Cervera, recognized for her prominence associated with that family name.
  • E. Carmen Calvo
    Carmen Calvo is a Spanish conceptual artist known for her evocative mixed-media works that explore memory, identity, and the passage of time.
  • 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_69ca82c0ef14819083713f4473dd847c completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb455559188190bf95d9d93bb76002 completed March 31, 2026, 3:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbf2c22f0819085c686c005f49486 completed April 1, 2026, 6:46 a.m.
Created at: March 30, 2026, 5:38 p.m.