Triple
T33200339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nahin Saamne |
E849882
|
entity |
| Predicate | filmDirectorOfSong |
P176179
|
FINISHED |
| Object | Subhash Ghai |
—
|
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: Subhash Ghai | Statement: [Nahin Saamne, filmDirectorOfSong, Subhash Ghai]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmDirectorOfSong Context triple: [Nahin Saamne, filmDirectorOfSong, Subhash Ghai]
-
A.
filmDirectorOfSongSequence
Indicates that a person served as the film director specifically for a given song sequence within a film.
-
B.
musicDirectorTitle
Indicates the formal title or designation held by a person in their role as a music director.
-
C.
musicDirectorRole
Indicates that one entity serves in the role of music director for another entity, such as a production, organization, or event.
-
D.
hasMusicDirector
Indicates that an entity (such as a film, show, or production) is associated with a specific person who served as its music director.
-
E.
soundtrackLyricist
Indicates that a person is the lyricist who wrote the words for the soundtrack of a work (such as a film, show, or game).
- F. None of above. chosen
Provenance (4 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_69f6dd3cc0648190a275812d6711275a |
completed | May 3, 2026, 5:29 a.m. |
| PD | Predicate disambiguation | batch_69f6d82eaee081908f06a71546315aea |
completed | May 3, 2026, 5:07 a.m. |
| PDg | Predicate description generation | batch_69f6dd3b335481909e24d4eb5b0269f9 |
completed | May 3, 2026, 5:29 a.m. |
Created at: May 1, 2026, 1:29 a.m.