Triple
T20586362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Tigger Movie |
E505796
|
entity |
| Predicate | hasOriginalMusic |
P73613
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [The Tigger Movie, hasOriginalMusic, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOriginalMusic Context triple: [The Tigger Movie, hasOriginalMusic, true]
-
A.
hasOriginalMusicBy
Indicates that the original musical score or soundtrack for a work was created or composed by a specified entity.
-
B.
containsOriginalSongs
chosen
Indicates that one entity includes or features songs that are original compositions rather than covers or adaptations.
-
C.
includesOriginalSongsBy
Indicates that one entity (such as a collection or work) contains original songs that are created or performed by another entity.
-
D.
usesOriginalVocalsFrom
Indicates that one work incorporates the original, unaltered vocal recordings from another work.
-
E.
hasOriginalScoreAlbum
Indicates that an entity is associated with a specific album containing its original musical score.
- 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_69e0b4b9669c8190b8e81fc72817d42c |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a976bca4819086a4949e299159b5 |
completed | April 20, 2026, 10:32 p.m. |
| PD | Predicate disambiguation | batch_69e59fffe1748190825e4eaa90340631 |
completed | April 20, 2026, 3:39 a.m. |
Created at: April 16, 2026, 11:40 a.m.