Triple
T29499095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andha Naal |
E748317
|
entity |
| Predicate | hasSongs |
P20452
|
FINISHED |
| Object | false |
—
|
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: false | Statement: [Andha Naal, hasSongs, false]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSongs Context triple: [Andha Naal, hasSongs, false]
-
A.
hasSong
chosen
Indicates that one entity possesses, features, or includes a particular song.
-
B.
hasMusicForReleases
Indicates that there is associated music content linked to specific releases (such as albums, editions, or versions).
-
C.
hasSongCycle
Indicates that one entity (typically a musical work or collection) includes or is associated with a specific song cycle as part of its structure or content.
-
D.
sangSongsIn
Indicates that one entity performed or vocalized songs in the context, location, or event associated with another entity.
-
E.
hasSongAbout
Indicates that one entity has created, features, or is associated with a song whose subject or theme is about 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_69f0bd455a9c8190b40a3e8ea38cf61f |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f739a638748190808e7a2930dce16e |
completed | May 3, 2026, 12:03 p.m. |
| PD | Predicate disambiguation | batch_69f732f2dc6c8190a4e86da98cc5eb05 |
completed | May 3, 2026, 11:35 a.m. |
Created at: April 28, 2026, 4:21 p.m.