Triple
T23170269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | What Would Dolly Do |
E578833
|
entity |
| Predicate | artisticMotif |
P15999
|
FINISHED |
| Object | homage to a country music icon |
—
|
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: homage to a country music icon | Statement: [What Would Dolly Do, artisticMotif, homage to a country music icon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: artisticMotif Context triple: [What Would Dolly Do, artisticMotif, homage to a country music icon]
-
A.
artisticTheme
chosen
Indicates the central artistic subject, concept, or motif that characterizes or is expressed by a creative work.
-
B.
traditionalMotif
Indicates that something incorporates, represents, or is characterized by a motif rooted in established cultural or historical traditions.
-
C.
artisticCharacteristic
Indicates that one entity possesses or exhibits a particular artistic quality, style, or trait in relation to another.
-
D.
visualDesignInspiredBy
Indicates that the visual design of one entity is influenced, modeled, or derived from the visual style or appearance of another entity.
-
E.
ornamentationStyle
Indicates the decorative design or stylistic approach applied as ornamentation to an entity.
- 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_69e245fd2a388190b814c0dfa15f7148 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18f2f10208190b3a0f9a4c790cb0a |
completed | April 29, 2026, 4:55 a.m. |
| PD | Predicate disambiguation | batch_69ef89ff76808190808ee4ad9dea776b |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 17, 2026, 4:03 p.m.