Triple

T21811853
Position Surface form Disambiguated ID Type / Status
Subject Eulalia Ramón E538492 entity
Predicate hasWorkedWith P9615 FINISHED
Object Juan Luis Galiardo 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: Juan Luis Galiardo | Statement: [Eulalia Ramón, hasWorkedWith, Juan Luis Galiardo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Juan Luis Galiardo
Context triple: [Eulalia Ramón, hasWorkedWith, Juan Luis Galiardo]
  • A. Juan Luis Galiardo chosen
    Juan Luis Galiardo was a Spanish actor known for his prolific film, television, and stage career from the 1960s onward.
  • B. Agustín Lanuez
    Agustín Lanuez is the central protagonist of the work "Looking," around whom the main narrative and character development revolve.
  • C. Fernando Quijano
    Fernando Quijano was a 19th-century Uruguayan composer best known for writing the music of Uruguay’s national anthem.
  • D. José Gallego
    José Gallego is a personal name shared by several Spanish individuals, most commonly associated with figures in sports and the arts.
  • E. Vicente Acero
    Vicente Acero was an 18th-century Spanish architect noted for his work on major religious buildings in Andalusia.
  • 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_69e0c473f0f8819086c9d1b4a143bd67 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f07cc6cdf88190a31129acdc3bcec8 completed April 28, 2026, 9:24 a.m.
Created at: April 16, 2026, 6:53 p.m.