Triple
T31806727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Chat Noir |
E811890
|
entity |
| Predicate | famousPoster |
P34247
|
FINISHED |
| Object | Tournee du Chat Noir poster |
—
|
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: Tournee du Chat Noir poster | Statement: [Le Chat Noir, famousPoster, Tournee du Chat Noir poster]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: famousPoster Context triple: [Le Chat Noir, famousPoster, Tournee du Chat Noir poster]
-
A.
famousPosterArtist
Indicates that one entity is a poster artist who is widely recognized or celebrated for their work.
-
B.
famousImage
chosen
Indicates that an image is widely recognized or well-known, typically due to its prominence, popularity, or cultural significance.
-
C.
hasFilmPoster
Indicates that one entity serves as the film poster associated with another film entity.
-
D.
publicFigure
Indicates that an entity is widely recognized by the public and holds a prominent or influential role in society, such as in politics, entertainment, or media.
-
E.
posterGirl
Indicates that one entity serves as the emblematic or ideal representative (the “poster girl”) for another entity, such as a cause, brand, or stereotype.
- 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_69f348e70d188190b4637c5509f81274 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6b49436b0819094e21603054d05d4 |
completed | May 3, 2026, 2:36 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a7bdb481908d16a32f49e38c2c |
completed | May 3, 2026, 2:32 a.m. |
Created at: April 30, 2026, 11:43 p.m.