Triple

T34492253
Position Surface form Disambiguated ID Type / Status
Subject Moore House E885497 entity
Predicate category P87 FINISHED
Object Houses by Richard Neutra
Houses by Richard Neutra are modernist residential works by the influential Austrian-American architect Richard Neutra, renowned for their minimalist design, open plans, and strong integration with the surrounding landscape.
E1179315 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: Houses by Richard Neutra | Statement: [Moore House, category, Houses by Richard Neutra]
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: Houses by Richard Neutra
Triple: [Moore House, category, Houses by Richard Neutra]
Generated description
Houses by Richard Neutra are modernist residential works by the influential Austrian-American architect Richard Neutra, renowned for their minimalist design, open plans, and strong integration with the surrounding landscape.

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_69f349cafcec8190997b45b3fdc16c27 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f71cef583081909743639bddf16652 completed May 3, 2026, 10:01 a.m.
NED1 Entity disambiguation (via context triple) batch_6a37214195288190aeb1dd22cf41cb72 completed June 20, 2026, 11:24 p.m.
NEDg Description generation batch_6a372200430c8190a70e010e1c3cad77 completed June 20, 2026, 11:28 p.m.
NED2 Entity disambiguation (via description) batch_6a37230e5a448190a0915ebeada6edd2 completed June 20, 2026, 11:32 p.m.
Created at: May 1, 2026, 2:01 a.m.