Triple
T37478462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haath Ki Safai |
E931347
|
entity |
| Predicate | soundtrackComposerDuo |
P113320
|
FINISHED |
| Object | Kalyanji–Anandji |
—
|
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: Kalyanji–Anandji | Statement: [Haath Ki Safai, soundtrackComposerDuo, Kalyanji–Anandji]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: soundtrackComposerDuo Context triple: [Haath Ki Safai, soundtrackComposerDuo, Kalyanji–Anandji]
-
A.
soundtrackComposerCollaboratedWith
Indicates that a soundtrack composer worked together with another person or entity in creating or producing a soundtrack.
-
B.
composerOfSoundtrackFor
chosen
Indicates that one entity created the musical score or soundtrack specifically for a work associated with another entity.
-
C.
soundtrackProducer
Indicates that one entity is the producer responsible for creating or overseeing the soundtrack associated with another entity (such as a film, game, or show).
-
D.
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).
-
E.
directorAlsoComposedMusic
Indicates that the person who directed the work also composed its musical score.
- 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_69f76ec382248190b47844df596123c6 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fba68077788190b311e027435fcf87 |
completed | May 6, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69fba34c65ac8190b298f0f00d1dcc0e |
completed | May 6, 2026, 8:23 p.m. |
Created at: May 3, 2026, 4:17 p.m.