Triple
T25959329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pournami |
E645492
|
entity |
| Predicate | hasMusicTrackLanguage |
P26614
|
FINISHED |
| Object | Telugu |
—
|
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: Telugu | Statement: [Pournami, hasMusicTrackLanguage, Telugu]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMusicTrackLanguage Context triple: [Pournami, hasMusicTrackLanguage, Telugu]
-
A.
hasArtistLanguage
Indicates that an artist is associated with, or primarily uses, a particular language in their work or identity.
-
B.
languageOfMusic
chosen
Indicates that a specified language is used in, associated with, or characteristic of a particular piece of music or musical work.
-
C.
lyricsLanguage
Indicates the language in which the lyrics of a song or musical work are written or performed.
-
D.
soundtrackLanguage
Indicates the language in which the primary audio or soundtrack of a media work is recorded or presented.
-
E.
languageOfTrackTitles
Indicates the language in which the titles of the tracks are written or presented.
- 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_69e77e85efc08190997da7fcf98bd300 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f67257b0448190a13011af81c81449 |
completed | May 2, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69f66ec3d3d48190ab2f2b71939e572e |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 22, 2026, 8:47 a.m.