Triple
T33728726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khamoshiyan |
E864214
|
entity |
| Predicate | titleTrackSinger |
P177309
|
FINISHED |
| Object | Arijit Singh |
—
|
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: Arijit Singh | Statement: [Khamoshiyan, titleTrackSinger, Arijit Singh]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleTrackSinger Context triple: [Khamoshiyan, titleTrackSinger, Arijit Singh]
-
A.
titleSongComposer
Indicates that one entity is the composer of the title song associated with another entity (such as a film, show, or album).
-
B.
hasTitleTrackPerformer
chosen
Indicates that a performer is the primary artist responsible for performing the title track of a work.
-
C.
musicTrack
Indicates a relationship where an entity is identified as a specific music track, typically representing an individual recorded piece of music.
-
D.
trackName
Indicates the name or title assigned to a specific track (such as a song, audio piece, or route) in the relationship.
-
E.
titleTrackUsedAs
Indicates that a work serves as the title track for another work, such as an album, film, or series.
- 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_69f3498a64cc8190b4b414c67b280d93 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff0b6bc4a88190bf1d38c6ea26bcdc |
completed | May 9, 2026, 10:24 a.m. |
| PD | Predicate disambiguation | batch_69ff082a22f4819095ded971dbd8ea7b |
completed | May 9, 2026, 10:10 a.m. |
Created at: May 1, 2026, 1:44 a.m.