Triple
T14813530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henri Biva |
E348246
|
entity |
| Predicate | artMarketCategory |
P115825
|
FINISHED |
| Object | 19th-century French painting |
—
|
LITERAL 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: 19th-century French painting | Statement: [Henri Biva, artMarketCategory, 19th-century French painting]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: artMarketCategory Context triple: [Henri Biva, artMarketCategory, 19th-century French painting]
-
A.
artMarketNotability
Indicates that an entity has recognized significance or prominence within the art market, such as through sales, auctions, or professional recognition.
-
B.
artSpecialty
Indicates that an entity’s primary focus, expertise, or specialization is in a particular art form or artistic domain.
-
C.
artMovement
Indicates the artistic movement or style with which an artwork, artist, or cultural work is associated.
-
D.
artCollectionFocus
Indicates that an art collection is primarily centered around or devoted to a particular theme, style, period, subject, or type of artwork.
-
E.
hasArtMarketStatus
Indicates that an entity holds a particular status or condition within the art market, such as its market recognition, activity, or classification.
- F. None of above. chosen
Provenance (4 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_69d822eb8f588190bf53445e730a934f |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decfe0e89c81908c0e1fe2bc3ebcfc |
completed | April 14, 2026, 11:38 p.m. |
| PD | Predicate disambiguation | batch_69de8c0ef8a4819092d84478b1f56db1 |
completed | April 14, 2026, 6:48 p.m. |
| PDg | Predicate description generation | batch_69de8f4b67cc8190b84b59fcec5cf579 |
completed | April 14, 2026, 7:02 p.m. |
Created at: April 10, 2026, 1:48 a.m.