Triple
T27987382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portraits of Jean Cocteau |
E706778
|
entity |
| Predicate | depictsArtisticMilieu |
P1577
|
FINISHED |
| Object | French avant-garde |
—
|
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: French avant-garde | Statement: [Portraits of Jean Cocteau, depictsArtisticMilieu, French avant-garde]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictsArtisticMilieu Context triple: [Portraits of Jean Cocteau, depictsArtisticMilieu, French avant-garde]
-
A.
artisticDepiction
Indicates that one entity visually represents, portrays, or illustrates another in an artistic medium.
-
B.
artisticField
Indicates the artistic domain or creative discipline in which an entity is active or associated.
-
C.
artMovement
chosen
Indicates the artistic movement or style with which an artwork, artist, or cultural work is associated.
-
D.
fieldOfDepiction
Indicates that one entity serves as the subject matter or thematic focus depicted within another entity, such as an image, artwork, or representation.
-
E.
hasArtScene
Indicates that a place or community possesses an active or notable community of artistic activity, events, and institutions.
- 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_69ef96b8b8d88190bad5e4ae966bf14e |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f6a8df16a88190a23820e64a3b1f92 |
completed | May 3, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69f6a751d5e48190a77dcecbe7ef9f0b |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 27, 2026, 7:48 p.m.