Triple
T19465186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madcap Maxie |
E486974
|
entity |
| Predicate | associatedWithMediaImage |
P136026
|
FINISHED |
| Object | flamboyant sports star |
—
|
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: flamboyant sports star | Statement: [Madcap Maxie, associatedWithMediaImage, flamboyant sports star]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithMediaImage Context triple: [Madcap Maxie, associatedWithMediaImage, flamboyant sports star]
-
A.
associatedWithSocialImage
Indicates a relationship where something is linked or connected to a particular social image, reputation, or public perception.
-
B.
isAssociatedWithArtistImage
Indicates a relationship where an entity is linked or connected to an image that represents or depicts an artist.
-
C.
usedByMedia
Indicates that something is employed or utilized by media organizations or media-related channels.
-
D.
usedByMediaIn
Indicates that something is employed or utilized within a particular media work or medium.
-
E.
mediaAssets
Indicates a relationship where one entity is associated with one or more media-related resources or files (such as images, videos, or audio).
- 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_69d8e8d86d608190bd199a98d0297f27 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633d0fe3c8190b637f78bfad704d0 |
completed | April 20, 2026, 2:10 p.m. |
| PD | Predicate disambiguation | batch_69e4fd7499a4819082bec0be8afba35c |
completed | April 19, 2026, 4:06 p.m. |
| PDg | Predicate description generation | batch_69e5004c23308190a087b7941a90725f |
completed | April 19, 2026, 4:18 p.m. |
Created at: April 10, 2026, 1:39 p.m.