Triple

T5633397
Position Surface form Disambiguated ID Type / Status
Subject Carlos Saura E147886 entity
Predicate notableWork P4 FINISHED
Object Tango E36345 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: Tango | Statement: [Carlos Saura, notableWork, Tango]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tango
Context triple: [Carlos Saura, notableWork, Tango]
  • A. tango chosen
    Tango is a passionate and dramatic partner dance and musical style that originated in the working-class neighborhoods of Buenos Aires and Montevideo in the late 19th century.
  • B. Calera de Tango
    Calera de Tango is a semi-rural commune and town in central Chile known for its agricultural activity and proximity to Santiago.
  • C. Salsa
    Salsa is one of the spacecraft in the European Space Agency’s Cluster mission, designed to study Earth’s magnetosphere and its interaction with the solar wind.
  • D. Rumba
    Rumba is one of the spacecraft in the Cluster mission, a European Space Agency project studying Earth's magnetosphere in three dimensions.
  • E. Libertango
    "Libertango" is a famous tango nuevo composition by Ástor Piazzolla, widely recognized for its fusion of classical, jazz, and traditional Argentine tango elements.
  • 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_69c00907bc8881909ed760d3ed73ef35 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0225ff3248190b93c9f5887553fd4 completed March 22, 2026, 5:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d69128881909870e8901f967e80 completed March 22, 2026, 8:13 p.m.
Created at: March 22, 2026, 3:41 p.m.