Triple

T28845684
Position Surface form Disambiguated ID Type / Status
Subject Kay Sage E728446 entity
Predicate notableWork P4 FINISHED
Object On the Contrary
"On the Contrary" is a surrealist painting by American artist Kay Sage, exemplifying her signature dreamlike architectural landscapes and themes of isolation.
 E1837016 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: On the Contrary | Statement: [Kay Sage, notableWork, On the Contrary]
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: On the Contrary
Triple: [Kay Sage, notableWork, On the Contrary]
Generated description
"On the Contrary" is a surrealist painting by American artist Kay Sage, exemplifying her signature dreamlike architectural landscapes and themes of isolation.

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_69f0319e8e7c8190b37288c8845b9dbc completed April 28, 2026, 4:03 a.m.
NER Named-entity recognition batch_69f659d446708190aaa57d5a1181209e completed May 2, 2026, 8:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a24bbb8060c8190a2ba73a263a9d89d completed June 7, 2026, 12:30 a.m.
NEDg Description generation batch_6a24c0054a1c8190bcfd93bbe412553b completed June 7, 2026, 12:49 a.m.
NED2 Entity disambiguation (via description) batch_6a24c6b4cdb88190b7421c5ba080fb45 completed June 7, 2026, 1:17 a.m.
Created at: April 28, 2026, 6:42 a.m.