Triple

T32063817
Position Surface form Disambiguated ID Type / Status
Subject Warby Parker E818819 entity
Predicate foundedBy P104 FINISHED
Object Neil Blumenthal
Neil Blumenthal is an American entrepreneur best known as a co-founder and co-CEO of the eyewear company Warby Parker.
E1992212 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: Neil Blumenthal | Statement: [Warby Parker, foundedBy, Neil Blumenthal]
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: Neil Blumenthal
Triple: [Warby Parker, foundedBy, Neil Blumenthal]
Generated description
Neil Blumenthal is an American entrepreneur best known as a co-founder and co-CEO of the eyewear company Warby Parker.

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_69f348fecc088190af1470afe5a969f0 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6b4f85ea881908ce0bbddd9426e73 completed May 3, 2026, 2:37 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2edde0a5b881908c182a6a2f0dee2f completed June 14, 2026, 4:59 p.m.
NEDg Description generation batch_6a2ede5124a88190aed46989ea080930 completed June 14, 2026, 5:01 p.m.
NED2 Entity disambiguation (via description) batch_6a2eec652bc4819084acc69f5da6c44c completed June 14, 2026, 6:01 p.m.
Created at: May 1, 2026, 12:22 a.m.