Triple
T31806726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Chat Noir |
E811890
|
entity |
| Predicate | famousPosterArtist |
P172989
|
FINISHED |
| Object | Théophile Steinlen |
—
|
NE NERFINISHED |
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: Théophile Steinlen | Statement: [Le Chat Noir, famousPosterArtist, Théophile Steinlen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: famousPosterArtist Context triple: [Le Chat Noir, famousPosterArtist, Théophile Steinlen]
-
A.
artistOfPublicArt
Indicates that one entity is the artist or creator responsible for a particular piece of public art.
-
B.
composerOfDepictingWork
Indicates that an entity is the composer of a musical work that is itself a depiction or representation of another entity or subject.
-
C.
authorOfDepiction
Indicates that one entity is the creator or author responsible for producing a particular depiction of another entity.
-
D.
artistOfMurals
Indicates that an entity creates or is responsible for producing murals.
-
E.
hasFamousArtwork
Indicates that an entity possesses or is associated with a well-known or widely recognized artwork.
- 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_69f348e70d188190b4637c5509f81274 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6b2d9aad88190a445f8f591cb19fc |
completed | May 3, 2026, 2:28 a.m. |
| PD | Predicate disambiguation | batch_69f6b14faf608190a25b977c0740729c |
completed | May 3, 2026, 2:22 a.m. |
| PDg | Predicate description generation | batch_69f6b21da77081908c5c015c4606d344 |
completed | May 3, 2026, 2:25 a.m. |
Created at: April 30, 2026, 11:43 p.m.