Triple
T29892116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minnale (Tamil film soundtrack) |
E759179
|
entity |
| Predicate | popularSong |
P96818
|
FINISHED |
| Object | Vaseegara |
—
|
NE NERFINISHED |
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: Vaseegara | Statement: [Minnale (Tamil film soundtrack), popularSong, Vaseegara]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: popularSong Context triple: [Minnale (Tamil film soundtrack), popularSong, Vaseegara]
-
A.
isPopularSong
Indicates that a song is widely liked, well-known, or frequently listened to by many people.
-
B.
popular
Indicates that an entity is widely liked, admired, or favored by many people compared to alternatives.
-
C.
isPopularSongOf
chosen
Indicates that a song is widely liked, well-known, or frequently enjoyed in relation to a particular entity (such as an artist, album, or context).
-
D.
favoriteSong
Indicates that one entity is the preferred or most liked song of another entity.
-
E.
isPopularSongFor
Indicates that a song is widely liked, well-known, or frequently chosen by a particular audience, group, or context.
- 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_69f2245f1cf88190978c70d1a1d2cb73 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f7817daf00819098936402e75ab0a6 |
completed | May 3, 2026, 5:10 p.m. |
| PD | Predicate disambiguation | batch_69f780fc5ed88190b7200ee5a29940af |
completed | May 3, 2026, 5:08 p.m. |
Created at: April 29, 2026, 6:03 p.m.