Triple
T29491541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minsara Kanavu |
E748092
|
entity |
| Predicate | hasNotableSoundtrack |
P162932
|
FINISHED |
| Object | A. R. Rahman soundtrack |
—
|
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: A. R. Rahman soundtrack | Statement: [Minsara Kanavu, hasNotableSoundtrack, A. R. Rahman soundtrack]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableSoundtrack Context triple: [Minsara Kanavu, hasNotableSoundtrack, A. R. Rahman soundtrack]
-
A.
hasSoundtrackCharacteristic
Indicates that a soundtrack possesses a specified quality, feature, or attribute.
-
B.
hasSoundtrackWork
Indicates that one entity (typically a media product or work) includes or is associated with another entity that serves as its soundtrack or musical score.
-
C.
isSoundtrackOf
Indicates that a piece of music or collection of music serves as the soundtrack for a particular work, such as a film, game, or show.
-
D.
soundtrackNotability
chosen
Indicates that an entity is notable or recognized specifically for its soundtrack or musical score.
-
E.
soundtrackFeatures
Indicates that a particular soundtrack includes or showcases a given piece of music, artist, or audio element as part of its content.
- 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_69f0bd448c6881908aa6b475cefd5ddc |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69ffc1550cb481908628e446d9b67f7b |
completed | May 9, 2026, 11:20 p.m. |
| PD | Predicate disambiguation | batch_69ffc10a74708190ae90e2c378791f70 |
completed | May 9, 2026, 11:19 p.m. |
Created at: April 28, 2026, 4:14 p.m.