Triple

T32681774
Position Surface form Disambiguated ID Type / Status
Subject Gustave Van de Woestyne E835604 entity
Predicate notableWork P4 FINISHED
Object The Peasant
The Peasant is a notable early 20th-century painting by Belgian expressionist Gustave Van de Woestyne, depicting a rural figure with a stylized, introspective intensity characteristic of his work.
 E2016220 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: The Peasant | Statement: [Gustave Van de Woestyne, notableWork, The Peasant]
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: The Peasant
Triple: [Gustave Van de Woestyne, notableWork, The Peasant]
Generated description
The Peasant is a notable early 20th-century painting by Belgian expressionist Gustave Van de Woestyne, depicting a rural figure with a stylized, introspective intensity characteristic of his work.

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_69f3493134b48190aa3c8cb523bd3800 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6c7e92f38819084db3081ae5de9ec completed May 3, 2026, 3:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3492c397448190810d04981e4929c9 completed June 19, 2026, 12:52 a.m.
NEDg Description generation batch_6a34938b14e48190996e1c98af868562 completed June 19, 2026, 12:55 a.m.
NED2 Entity disambiguation (via description) batch_6a3493fa8d74819085899945dd638b5e completed June 19, 2026, 12:57 a.m.
Created at: May 1, 2026, 1:09 a.m.