Triple

T28999511
Position Surface form Disambiguated ID Type / Status
Subject Quicksand E736261 entity
Predicate member P10 FINISHED
Object Sergio Vega
Sergio Vega is an American bassist best known for his work with the post-hardcore band Quicksand and later as a longtime member of Deftones.
E1119401 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: Sergio Vega | Statement: [Quicksand, member, Sergio Vega]
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: Sergio Vega
Triple: [Quicksand, member, Sergio Vega]
Generated description
Sergio Vega is an American bassist best known for his work with the post-hardcore band Quicksand and later as a longtime member of Deftones.

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_69f077eacd0481908ef0bafd74491cd0 completed April 28, 2026, 9:03 a.m.
NER Named-entity recognition batch_69f65fb930408190a871ef5be8ca99cf completed May 2, 2026, 8:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a352f92c63c819098035a4d045b0a0a completed June 19, 2026, 12:01 p.m.
NEDg Description generation batch_6a3533aaf1d881909e9f0981fae87c6d completed June 19, 2026, 12:18 p.m.
NED2 Entity disambiguation (via description) batch_6a35341981848190941fffd6dd22b4c1 completed June 19, 2026, 12:20 p.m.
Created at: April 28, 2026, 9:34 a.m.