Triple
T29334516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Run (2004 Hindi film) |
E743872
|
entity |
| Predicate | hasBackgroundScoreComposer |
P154077
|
FINISHED |
| Object | Vidyasagar |
—
|
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: Vidyasagar | Statement: [Run (2004 Hindi film), hasBackgroundScoreComposer, Vidyasagar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBackgroundScoreComposer Context triple: [Run (2004 Hindi film), hasBackgroundScoreComposer, Vidyasagar]
-
A.
hasBackgroundScoreBy
chosen
Indicates that something (such as a scene, video, or media item) is accompanied by a background musical score created or provided by a specified entity.
-
B.
hasCoComposer
Indicates that an entity shares authorship of a musical composition with one or more other composers.
-
C.
alternateScoreComposer
Indicates that an entity serves as an alternative or secondary composer associated with a given score.
-
D.
hasBackingTrackCreator
Indicates that an entity has a creator responsible for producing its backing track.
-
E.
hasArrangerBackground
Indicates that an entity has a background or experience in musical arranging.
- 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_69f09126cfcc8190899b16fbf3c2bf7b |
completed | April 28, 2026, 10:51 a.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, 1:30 p.m.