Triple
T15007757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ambassadeurs café-concert |
E377752
|
entity |
| Predicate | artisticRepresentation |
P45579
|
FINISHED |
| Object | posters by Henri de Toulouse-Lautrec |
—
|
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: posters by Henri de Toulouse-Lautrec | Statement: [Ambassadeurs café-concert, artisticRepresentation, posters by Henri de Toulouse-Lautrec]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: artisticRepresentation Context triple: [Ambassadeurs café-concert, artisticRepresentation, posters by Henri de Toulouse-Lautrec]
-
A.
artisticDepiction
Indicates that one entity visually represents, portrays, or illustrates another in an artistic medium.
-
B.
artwork
chosen
Indicates that one entity is an artwork created, presented, or associated with another entity (such as an artist, collection, or institution).
-
C.
artisticCharacteristic
Indicates that one entity possesses or exhibits a particular artistic quality, style, or trait in relation to another.
-
D.
artisticField
Indicates the artistic domain or creative discipline in which an entity is active or associated.
-
E.
artworkBy
Indicates that one entity is the creator or artist responsible for producing the other entity as an artwork.
- F. None of above.
Provenance (3 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_69d85cd3a3c881908c71fc424d459c17 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded73348d4819091d9e7f1b0fed822 |
completed | April 15, 2026, 12:09 a.m. |
| PD | Predicate disambiguation | batch_69de9a6531a88190acde65199a477350 |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:55 a.m.