Triple

T10985604
Position Surface form Disambiguated ID Type / Status
Subject Elena Ivanovna Diakonova E259621 entity
Predicate hasName P744 FINISHED
Object Gala Dalí E46278 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: Gala Dalí | Statement: [Elena Ivanovna Diakonova, hasName, Gala Dalí]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gala Dalí
Context triple: [Elena Ivanovna Diakonova, hasName, Gala Dalí]
  • A. Gala Dalí chosen
    Gala Dalí was a Russian-born muse, model, and manager who became the central inspiration and lifelong partner of surrealist artist Salvador Dalí.
  • B. Dali
    Dali is a historic city in southwestern China known for its well-preserved ancient town, Bai ethnic culture, and scenic setting between Erhai Lake and the Cangshan Mountains.
  • C. Dali
    Dali was an era name used during the reign of Emperor Daizong in China’s Tang dynasty.
  • D. Salvador Dalí
    Salvador Dalí was a Spanish surrealist artist renowned for his dreamlike, bizarre imagery and technical virtuosity in paintings such as "The Persistence of Memory."
  • E. Paloma Picasso
    Paloma Picasso is a French-Spanish fashion and jewelry designer and businesswoman, best known for her work with Tiffany & Co. and for being the daughter of artist Pablo Picasso.
  • 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_69d6aa895f4c8190887a15460ef622f4 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d787b2e4a88190a81504eee77e2298 completed April 9, 2026, 11:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69e344d860b08190a035570191c54d7c completed April 18, 2026, 8:46 a.m.
Created at: April 8, 2026, 9:24 p.m.