Triple
T8375123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Balloon Dog (Magenta) |
E197556
|
entity |
| Predicate | associatedArtistRole |
P9640
|
FINISHED |
| Object | Jeff Koons as sculptor |
—
|
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: Jeff Koons as sculptor | Statement: [Balloon Dog (Magenta), associatedArtistRole, Jeff Koons as sculptor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedArtistRole Context triple: [Balloon Dog (Magenta), associatedArtistRole, Jeff Koons as sculptor]
-
A.
hasArtistRole
chosen
Indicates that an entity serves in the capacity or role of an artist in relation to another entity or context.
-
B.
notableAssociatedArtist
Indicates that there is a significant or noteworthy association between an artist and another entity, such as a work, organization, or place.
-
C.
subjectRelationToArtist
Indicates the nature of the relationship or connection that the subject has to the artist.
-
D.
associatedWithPerformer
Indicates a relationship in which something (such as a work, event, or role) is connected or linked to a specific performer.
-
E.
associatedWithArtistNickname
Indicates that an entity is connected to or identified by a particular artist’s nickname or pseudonym.
- 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_69ca82f56730819080cec5d991c76f4c |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb80a996ec819083ce2607c0cdab7f |
completed | March 31, 2026, 8:07 a.m. |
| PD | Predicate disambiguation | batch_69cb70cd04b08190ab5f72afd22a7967 |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 6:01 p.m.