Triple
T32466888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Touchez pas au grisbi |
E829732
|
entity |
| Predicate | posterArtLanguage |
P173227
|
FINISHED |
| Object | French |
—
|
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: French | Statement: [Touchez pas au grisbi, posterArtLanguage, French]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: posterArtLanguage Context triple: [Touchez pas au grisbi, posterArtLanguage, French]
-
A.
publicArt
Indicates that something is an artwork installed or displayed in a publicly accessible space.
-
B.
artwork
Indicates that one entity is an artwork created, presented, or associated with another entity (such as an artist, collection, or institution).
-
C.
artworkBy
Indicates that one entity is the creator or artist responsible for producing the other entity as an artwork.
-
D.
artisticDepiction
Indicates that one entity visually represents, portrays, or illustrates another in an artistic medium.
-
E.
coverArtLanguage
chosen
Indicates the language used in the text or linguistic content appearing on the cover art of a resource.
- 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_69f3491ee87c81908cbf5890079c2af6 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c35217548190a7a5df687aeac236 |
completed | May 3, 2026, 3:38 a.m. |
| PD | Predicate disambiguation | batch_69f6ba700a708190ab6db62791e43774 |
completed | May 3, 2026, 3:01 a.m. |
Created at: May 1, 2026, 12:57 a.m.