Triple
T29527864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gymnopédie No. 1 |
E749115
|
entity |
| Predicate | isPopularInMedia |
P167002
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Gymnopédie No. 1, isPopularInMedia, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPopularInMedia Context triple: [Gymnopédie No. 1, isPopularInMedia, yes]
-
A.
isPopularAs
Indicates that an entity is widely liked, well-known, or favored in a particular role, context, or capacity.
-
B.
isPopularOnSocialMedia
Indicates that an entity is widely followed, frequently engaged with, or broadly recognized across social media platforms.
-
C.
usedInMediaOf
Indicates that something (e.g., a work, element, or content) is employed or appears within a particular media work or production.
-
D.
popularizedIn
Indicates that something became widely known, accepted, or fashionable within a particular place, time period, or context.
-
E.
hasRepresentationInMedia
Indicates that something is depicted, portrayed, or otherwise represented within a particular medium or media work.
- 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_69f0bd46d99c81908ba9d01cc1dbef7d |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f66c9e2d8881909fda7c399cbc598c |
completed | May 2, 2026, 9:29 p.m. |
| PD | Predicate disambiguation | batch_69f6633ac8a88190ab0cda62bbfcf9b0 |
completed | May 2, 2026, 8:48 p.m. |
| PDg | Predicate description generation | batch_69f6642e676c8190af0e6b1416eed6d2 |
completed | May 2, 2026, 8:53 p.m. |
Created at: April 28, 2026, 4:49 p.m.