Triple
T27137920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donald's Boat |
E681737
|
entity |
| Predicate | hasThemeMusicFrom |
P7259
|
FINISHED |
| Object | Donald Duck cartoons |
—
|
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: Donald Duck cartoons | Statement: [Donald's Boat, hasThemeMusicFrom, Donald Duck cartoons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasThemeMusicFrom Context triple: [Donald's Boat, hasThemeMusicFrom, Donald Duck cartoons]
-
A.
hasThemeSong
chosen
Indicates that an entity is associated with or characterized by a particular theme song.
-
B.
musicThemeType
Indicates the specific category or type of musical theme associated with a piece, segment, or motif.
-
C.
hasHeroicTheme
Indicates that something (such as a work, scene, or motif) embodies or prominently features a heroic theme or quality.
-
D.
hasSoundtrackCharacteristic
Indicates that a soundtrack possesses a specified quality, feature, or attribute.
-
E.
hasMusical
Indicates that one entity features, includes, or is associated with a musical work, performance, or musical component.
- 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_69eefacca3888190b67238d380e8f28b |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f65f7731e4819099d5bd3d915ee266 |
completed | May 2, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f65c1f94ac8190bc6fbc7916fc0d82 |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 27, 2026, 9:08 a.m.