Triple

T26523048
Position Surface form Disambiguated ID Type / Status
Subject Víctor Vázquez E670010 entity
Predicate fullName P16 FINISHED
Object Víctor Vázquez Solsona
Víctor Vázquez Solsona is a Spanish professional footballer best known for his creative playmaking role as an attacking midfielder in European and North American leagues.
 E1783475 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: Víctor Vázquez Solsona | Statement: [Víctor Vázquez, fullName, Víctor Vázquez Solsona]
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: Víctor Vázquez Solsona
Triple: [Víctor Vázquez, fullName, Víctor Vázquez Solsona]
Generated description
Víctor Vázquez Solsona is a Spanish professional footballer best known for his creative playmaking role as an attacking midfielder in European and North American leagues.

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_69eeb31b6dcc8190b30632dc3928a0c0 completed April 27, 2026, 12:51 a.m.
NER Named-entity recognition batch_69f613c430148190b0c42d341d5bde09 completed May 2, 2026, 3:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12da6108cc8190a55fc00311abd55d completed May 24, 2026, 11 a.m.
NEDg Description generation batch_6a12daf3e7948190bb82f9eac6800971 completed May 24, 2026, 11:03 a.m.
NED2 Entity disambiguation (via description) batch_6a12db74542081909ede3d27600fb26b completed May 24, 2026, 11:05 a.m.
Created at: April 27, 2026, 1:29 a.m.