Triple

T29132427
Position Surface form Disambiguated ID Type / Status
Subject Marcel’s Unhappy Readymade (documentation and related works) E738415 entity
Predicate hasMainWork P46235 FINISHED
Object Unhappy Readymade
Unhappy Readymade is a conceptual artwork by Marcel Duchamp involving a geometry textbook exposed to the elements, exemplifying his radical approach to chance and the readymade.
E1850854 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: Unhappy Readymade | Statement: [Marcel’s Unhappy Readymade (documentation and related works), hasMainWork, Unhappy Readymade]
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: Unhappy Readymade
Triple: [Marcel’s Unhappy Readymade (documentation and related works), hasMainWork, Unhappy Readymade]
Generated description
Unhappy Readymade is a conceptual artwork by Marcel Duchamp involving a geometry textbook exposed to the elements, exemplifying his radical approach to chance and the readymade.

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_69f07cb3adb48190a9e0e169cd026634 completed April 28, 2026, 9:24 a.m.
NER Named-entity recognition batch_69f6622e80e881908dabf6eac447a973 completed May 2, 2026, 8:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2537d6501081909483d902995bde26 completed June 7, 2026, 9:20 a.m.
NEDg Description generation batch_6a253d4c35748190b0d726388de098b2 completed June 7, 2026, 9:43 a.m.
NED2 Entity disambiguation (via description) batch_6a25413321e0819084e4bf697d1337e0 completed June 7, 2026, 10 a.m.
Created at: April 28, 2026, 11:32 a.m.