Triple

T12671069
Position Surface form Disambiguated ID Type / Status
Subject Sagot E302683 entity
Predicate associatedWith P37 FINISHED
Object Picasso E754376 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: Picasso | Statement: [Sagot, associatedWith, Picasso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Picasso
Context triple: [Sagot, associatedWith, Picasso]
  • A. Picasso chosen
    Picasso is a renowned Spanish surname most famously associated with the pioneering 20th-century artist Pablo Picasso and his creative family.
  • B. Picasso
    Picasso is a fine-dining restaurant at the Bellagio in Las Vegas known for its French and Spanish cuisine and original Pablo Picasso artworks displayed throughout the dining room.
  • C. Pablo Picasso
    Pablo Picasso was a pioneering 20th-century Spanish painter and sculptor, co-founder of Cubism and one of the most influential artists in modern art.
  • D. Paulo Picasso
    Paulo Picasso was the eldest son of Spanish artist Pablo Picasso, known primarily for his close association with his father's life and legacy.
  • E. Claude Picasso
    Claude Picasso was a French photographer, film director, and administrator of the Picasso estate, best known as the son of artist Pablo Picasso and Françoise Gilot.
  • 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_69d7bdee64a08190801c6d470aefd723 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96183a6048190b2ef219eb9d20aa4 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6719fb8bc8190b581a7fcfb252404 completed May 2, 2026, 9:50 p.m.
Created at: April 9, 2026, 5:20 p.m.