Triple

T28220950
Position Surface form Disambiguated ID Type / Status
Subject Marguerite Gachet at the Piano E711453 entity
Predicate depicts P1581 FINISHED
Object Marguerite Gachet
Marguerite Gachet was the daughter of Dr. Paul Gachet and a young woman in Auvers-sur-Oise who became known as a subject in several of Vincent van Gogh’s paintings.
E1813290 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: Marguerite Gachet | Statement: [Marguerite Gachet at the Piano, depicts, Marguerite Gachet]
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: Marguerite Gachet
Triple: [Marguerite Gachet at the Piano, depicts, Marguerite Gachet]
Generated description
Marguerite Gachet was the daughter of Dr. Paul Gachet and a young woman in Auvers-sur-Oise who became known as a subject in several of Vincent van Gogh’s paintings.

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_69efb51dfb048190ada79b745c33b363 completed April 27, 2026, 7:12 p.m.
NER Named-entity recognition batch_69f643510bd081908e5ecec04b64d62f completed May 2, 2026, 6:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a16279b1fa48190b4d360a88b7a1a58 completed May 26, 2026, 11:07 p.m.
NEDg Description generation batch_6a16293751048190b1b41f81a329d281 completed May 26, 2026, 11:13 p.m.
NED2 Entity disambiguation (via description) batch_6a162a080b348190923c6ee579c829c1 completed May 26, 2026, 11:17 p.m.
Created at: April 27, 2026, 10:46 p.m.