Triple

T35538824
Position Surface form Disambiguated ID Type / Status
Subject National Auditorium of Music E1027004 entity
Predicate architect P184 FINISHED
Object José María García de Paredes
José María García de Paredes was a prominent Spanish architect known for his influential modernist designs, particularly in cultural and concert hall architecture.
E2169404 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: José María García de Paredes | Statement: [National Auditorium of Music, architect, José María García de Paredes]
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: José María García de Paredes
Triple: [National Auditorium of Music, architect, José María García de Paredes]
Generated description
José María García de Paredes was a prominent Spanish architect known for his influential modernist designs, particularly in cultural and concert hall architecture.

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_69f76e008ba08190927acd8e5e0344c8 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7980391bc8190b7465c3324e3bcc2 completed May 3, 2026, 6:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38dde852ac8190a413515e51f8152a completed June 22, 2026, 7:02 a.m.
NEDg Description generation batch_6a38f31341e8819089674bdcb9108e8b completed June 22, 2026, 8:32 a.m.
NED2 Entity disambiguation (via description) batch_6a38f42ee2248190a208a783bf109761 completed June 22, 2026, 8:37 a.m.
Created at: May 3, 2026, 4:04 p.m.