Triple

T18454799
Position Surface form Disambiguated ID Type / Status
Subject Manuel E450874 entity
Predicate hasVariant P455 FINISHED
Object Manolo NE NERFINISHED

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: Manolo | Statement: [Manuel, hasVariant, Manolo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manolo
Context triple: [Manuel, hasVariant, Manolo]
  • A. Manolo chosen
    Manolo is a masculine given name commonly used in Spanish-speaking countries, often as a diminutive of Manuel.
  • B. Manolo Sánchez
    Manolo Sánchez is the courageous, guitar-playing bullfighter and romantic hero of the animated film "The Book of Life."
  • C. Manolo Gonzalez Vergara
    Manolo Gonzalez Vergara is the son of actress Sofia Vergara, known as a media personality and occasional actor and producer.
  • D. Manolo Marquez
    Manolo Márquez is a Spanish football manager known for his work in Indian football, particularly in the Indian Super League.
  • E. Manolo Hugué
    Manolo Hugué was a Spanish Catalan sculptor and painter associated with early 20th-century modernism and the artistic circles of Céret and Paris.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d38345688190b565eac2e4cd7935 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5264b200c8190be2e79ca5ea0b082 completed April 19, 2026, 7 p.m.
Created at: April 10, 2026, 11:31 a.m.