Triple

T9329495
Position Surface form Disambiguated ID Type / Status
Subject Jean Negulesco E224479 entity
Predicate burialPlace P196 FINISHED
Object Marbella, Spain E645251 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: Marbella, Spain | Statement: [Jean Negulesco, burialPlace, Marbella, Spain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marbella, Spain
Context triple: [Jean Negulesco, burialPlace, Marbella, Spain]
  • A. Marbella, Andalusia, Spain
    Marbella, Andalusia, Spain is a Mediterranean resort city on the Costa del Sol known for its beaches, luxury tourism, and vibrant nightlife.
  • B. Marbella chosen
    Marbella is a popular resort city on Spain’s Costa del Sol, known for its Mediterranean beaches, luxury marinas, upscale nightlife, and historic old town.
  • C. Torremolinos, Spain
    Torremolinos, Spain is a popular resort town on the Costa del Sol known for its Mediterranean beaches, vibrant nightlife, and tourism-focused economy.
  • D. Seville, Spain
    Seville, Spain is a historic Andalusian city renowned for its Moorish-influenced architecture, vibrant flamenco culture, and landmarks such as the Seville Cathedral and the Alcázar.
  • E. Benalmádena
    Benalmádena is a coastal resort town on Spain’s Costa del Sol, known for its beaches, marina, and tourist attractions near Málaga.
  • 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_69ca8427a0c08190b749831d5ea98f02 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd37acbc04819092a67d7f392c74cd completed April 1, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0e3c30ba88190b192621928136b87 completed April 4, 2026, 10:11 a.m.
Created at: March 30, 2026, 7:39 p.m.