Triple

T27990441
Position Surface form Disambiguated ID Type / Status
Subject Mother 1 E706854 entity
Predicate associatedWith P37 FINISHED
Object David Hockney’s Joiners series
David Hockney’s Joiners series is a body of work in which the artist assembles multiple photographs into composite images that explore fragmented perspective, time, and space.
 E1802710 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: David Hockney’s Joiners series | Statement: [Mother 1, associatedWith, David Hockney’s Joiners series]
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: David Hockney’s Joiners series
Triple: [Mother 1, associatedWith, David Hockney’s Joiners series]
Generated description
David Hockney’s Joiners series is a body of work in which the artist assembles multiple photographs into composite images that explore fragmented perspective, time, and space.

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_69ef96b8b8d88190bad5e4ae966bf14e completed April 27, 2026, 5:02 p.m.
NER Named-entity recognition batch_69f63ba6c208819083e11be320cd6807 completed May 2, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_6a15c8f748388190aca624818c7f34fb completed May 26, 2026, 4:23 p.m.
NEDg Description generation batch_6a15cad6eca081908f183a08891d31aa completed May 26, 2026, 4:31 p.m.
NED2 Entity disambiguation (via description) batch_6a15cd8ff1e08190a1e64f8206006dda completed May 26, 2026, 4:42 p.m.
Created at: April 27, 2026, 7:49 p.m.