Triple
T33201723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yaaro Yaarodi |
E849916
|
entity |
| Predicate | isPartOfComposerFilmography |
P15620
|
FINISHED |
| Object | A. R. Rahman Tamil film songs |
—
|
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 Tamil film songs | Statement: [Yaaro Yaarodi, isPartOfComposerFilmography, A. R. Rahman Tamil film songs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfComposerFilmography Context triple: [Yaaro Yaarodi, isPartOfComposerFilmography, A. R. Rahman Tamil film songs]
-
A.
associatedWithComposerOfFilm
Indicates a relationship where an entity is connected to the composer who created the musical score for a specific film.
-
B.
partOfFilmographyOf
chosen
Indicates that a work (such as a film, show, or role) is included in the body of screen-related works credited to a particular person.
-
C.
scoredBySameComposerAsFilm
Indicates that the work is scored by a composer who also composed the score for the referenced film.
-
D.
hasWorkedOnFilmBy
Indicates that one entity has worked on a film that was created, directed, or otherwise authored by another entity.
-
E.
workedOnFilmReleasedBy
Indicates that one entity contributed work to a film that was distributed or released by another 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_69f3495efedc8190843a5728089544b9 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69ff0b6bc4a88190bf1d38c6ea26bcdc |
completed | May 9, 2026, 10:24 a.m. |
| PD | Predicate disambiguation | batch_69ff082a22f4819095ded971dbd8ea7b |
completed | May 9, 2026, 10:10 a.m. |
Created at: May 1, 2026, 1:30 a.m.