Triple

T30996317
Position Surface form Disambiguated ID Type / Status
Subject Rodolfo Halffter E789807 entity
Predicate notableWork P4 FINISHED
Object Homenaje a Antonio Machado
Homenaje a Antonio Machado is a musical composition by Spanish-Mexican composer Rodolfo Halffter that pays tribute to the poet Antonio Machado.
E1940905 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: Homenaje a Antonio Machado | Statement: [Rodolfo Halffter, notableWork, Homenaje a Antonio Machado]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Homenaje a Antonio Machado
Triple: [Rodolfo Halffter, notableWork, Homenaje a Antonio Machado]
Generated description
Homenaje a Antonio Machado is a musical composition by Spanish-Mexican composer Rodolfo Halffter that pays tribute to the poet Antonio Machado.

Provenance (5 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_69f224c65a348190baaed1c01a29900c completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f694081af0819081a064222e95c482 completed May 3, 2026, 12:17 a.m.
NED1 Entity disambiguation (via context triple) batch_6a28fbce109c8190835521e861e12ff0 completed June 10, 2026, 5:53 a.m.
NEDg Description generation batch_6a28fd0e546c819097d65f578ecc4f92 completed June 10, 2026, 5:58 a.m.
NED2 Entity disambiguation (via description) batch_6a28fd80d2388190bf62e21706590fe8 completed June 10, 2026, 6 a.m.
Created at: April 29, 2026, 8:56 p.m.