Triple

T38561944
Position Surface form Disambiguated ID Type / Status
Subject Gui Bonsiepe E928098 entity
Predicate notableWork P4 FINISHED
Object Interface: An Approach to Design
"Interface: An Approach to Design" is a seminal design theory book by Gui Bonsiepe that explores the role of interfaces in shaping user experience, communication, and interaction in product and visual design.
E2275196 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: Interface: An Approach to Design | Statement: [Gui Bonsiepe, notableWork, Interface: An Approach to Design]
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: Interface: An Approach to Design
Triple: [Gui Bonsiepe, notableWork, Interface: An Approach to Design]
Generated description
"Interface: An Approach to Design" is a seminal design theory book by Gui Bonsiepe that explores the role of interfaces in shaping user experience, communication, and interaction in product and visual design.

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_69f76eb8d1808190a588af29d8b266d6 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fcd90627e481909d66e5110962f167 completed May 7, 2026, 6:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41e04369548190b5115a4868ed1cb6 completed June 29, 2026, 3:02 a.m.
NEDg Description generation batch_6a41e211cc7c81908b15df4b28d8f2a6 completed June 29, 2026, 3:10 a.m.
NED2 Entity disambiguation (via description) batch_6a41e3b3185c8190849330402cf46bab completed June 29, 2026, 3:17 a.m.
Created at: May 3, 2026, 4:32 p.m.