Triple

T19089857
Position Surface form Disambiguated ID Type / Status
Subject European Romantic landscape tradition E467254 entity
Predicate hasNotableArtist P2487 FINISHED
Object Alexandre Calame
Alexandre Calame was a 19th-century Swiss painter renowned for his dramatic Alpine landscapes and as a leading figure in Romantic landscape painting.
E1723547 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: Alexandre Calame | Statement: [European Romantic landscape tradition, hasNotableArtist, Alexandre Calame]
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: Alexandre Calame
Triple: [European Romantic landscape tradition, hasNotableArtist, Alexandre Calame]
Generated description
Alexandre Calame was a 19th-century Swiss painter renowned for his dramatic Alpine landscapes and as a leading figure in Romantic landscape painting.

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_69d8dd05ac4c8190b1967d8f97f3fb2f completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e34a589c8190b5171fab45bf2204 completed April 20, 2026, 8:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a11ae81aa088190a09c47ab591cef61 completed May 23, 2026, 1:41 p.m.
NEDg Description generation batch_6a11af6832f08190ab2673c8502f0526 completed May 23, 2026, 1:45 p.m.
NED2 Entity disambiguation (via description) batch_6a11b0097edc81909327051db358c7b1 completed May 23, 2026, 1:47 p.m.
Created at: April 10, 2026, 12:04 p.m.