Triple

T4716412
Position Surface form Disambiguated ID Type / Status
Subject John Singer Sargent E104649 entity
Predicate notableWork P4 FINISHED
Object El Jaleo E58531 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: El Jaleo | Statement: [John Singer Sargent, notableWork, El Jaleo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: El Jaleo
Context triple: [John Singer Sargent, notableWork, El Jaleo]
  • A. El Jaleo chosen
    El Jaleo is a dramatic 1882 painting by John Singer Sargent depicting a Spanish gypsy dancer performing with musicians in a shadowy, theatrical setting.
  • B. Hijuelas
    Hijuelas is a Chilean town and commune in the Valparaíso Region, known for its extensive plant nurseries and agricultural production.
  • C. La Banda
    La Banda is a major city in northern Argentina known for its agricultural economy and proximity to the provincial capital, Santiago del Estero.
  • D. Los Tumba Brazos
    Los Tumba Brazos is the popular nickname of the municipality of Carolina in Puerto Rico, reflecting its strong, hard-working local character and cultural identity.
  • E. El Loco
    El Loco is the famous nickname of Argentine football manager Marcelo Bielsa, known for his intense, unorthodox tactics and obsessive attention to detail.
  • 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_69bd43ec4a348190bc41afae43375e71 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd640a32ec8190850146957885c3cf completed March 20, 2026, 3:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69be108440108190a7dc1bbfb27ae6f5 completed March 21, 2026, 3:29 a.m.
Created at: March 20, 2026, 1:18 p.m.