Triple

T25149787
Position Surface form Disambiguated ID Type / Status
Subject Grand Union E630037 entity
Predicate hasWorkInCollection P2011 FINISHED
Object The Lazy River
The Lazy River is a work by the British artist collective Grand Union, likely reflecting their contemporary, concept-driven approach to art.
 E1666537 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 Lazy River | Statement: [Grand Union, hasWorkInCollection, The Lazy River]
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 Lazy River
Triple: [Grand Union, hasWorkInCollection, The Lazy River]
Generated description
The Lazy River is a work by the British artist collective Grand Union, likely reflecting their contemporary, concept-driven approach to art.

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_69e2ff349e408190a6f4a5a66279f54d completed April 18, 2026, 3:49 a.m.
NER Named-entity recognition batch_69f4684f11708190aa73600e3367475b completed May 1, 2026, 8:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a105d0883a8819090256adcd29b4c57 completed May 22, 2026, 1:41 p.m.
NEDg Description generation batch_6a105d875860819084ade4a9bf296627 completed May 22, 2026, 1:43 p.m.
NED2 Entity disambiguation (via description) batch_6a105edf54888190a3b77f63eb867749 completed May 22, 2026, 1:49 p.m.
Created at: April 18, 2026, 6:30 a.m.