Triple
T33219395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anand Bakshi |
E850377
|
entity |
| Predicate | numberOfFilmSongsWritten |
—
|
GENERATED |
| Object | over 4000 |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfFilmSongsWritten Context triple: [Anand Bakshi, numberOfFilmSongsWritten, over 4000]
-
A.
hasWrittenSongsFor
Indicates that one entity has composed songs specifically intended to be performed, recorded, or used by another entity.
-
B.
notableSongWrittenFor
Indicates that a particular song was specifically written for a given person, group, work, event, or purpose.
-
C.
hasWrittenLyricsFor
Indicates that one entity is the lyricist who has created the words for a song or musical work performed or associated with another entity.
-
D.
containsSongWrittenBy
Indicates that an entity (such as an album, playlist, or collection) includes at least one song that was written by a specified creator or songwriter.
-
E.
numberOfFilmScores
Indicates the total count of film scores that an entity has composed or is credited with.
- F. None of above. chosen
Provenance (1 batch)
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_69f3496083dc8190b229bb6932dc548b |
completed | April 30, 2026, 12:21 p.m. |
Created at: May 1, 2026, 1:30 a.m.