Triple
T31266872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Église des Dominicains de Colmar |
E797276
|
entity |
| Predicate | notableWorkContained |
P24127
|
FINISHED |
| Object |
La Vierge au buisson de roses
La Vierge au buisson de roses is a renowned late Gothic devotional painting of the Virgin Mary and Child, celebrated for its intricate symbolism and richly detailed floral background.
|
E1953296
|
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: La Vierge au buisson de roses | Statement: [Église des Dominicains de Colmar, notableWorkContained, La Vierge au buisson de roses]
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: La Vierge au buisson de roses Triple: [Église des Dominicains de Colmar, notableWorkContained, La Vierge au buisson de roses]
Generated description
La Vierge au buisson de roses is a renowned late Gothic devotional painting of the Virgin Mary and Child, celebrated for its intricate symbolism and richly detailed floral background.
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_69f224de2bbc819081af6c32e1d857b9 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69d9243b48190b665977bd4729392 |
completed | May 3, 2026, 12:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a296bffdb688190bbf7988202c50a04 |
completed | June 10, 2026, 1:52 p.m. |
| NEDg | Description generation | batch_6a296c9ac13c819081c06411d80071c1 |
completed | June 10, 2026, 1:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a299c9b54dc8190abd715cd88979541 |
completed | June 10, 2026, 5:19 p.m. |
Created at: April 29, 2026, 9:13 p.m.