Triple
T31377681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Indian cinema |
E800354
|
entity |
| Predicate | hasMusicIndustryLink |
P111431
|
FINISHED |
| Object | South Indian film music |
—
|
LITERAL FINISHED |
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: South Indian film music | Statement: [South Indian cinema, hasMusicIndustryLink, South Indian film music]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMusicIndustryLink Context triple: [South Indian cinema, hasMusicIndustryLink, South Indian film music]
-
A.
hasRecordIndustry
chosen
Indicates that an entity is associated with or operates within the record (music) industry.
-
B.
hasMusicalArtistOccupation
Indicates that an entity has an occupation or professional role as a musical artist.
-
C.
hasMusicalArtistType
Indicates that an entity has a specific role or classification as a type of musical artist (e.g., solo artist, band, composer).
-
D.
musicIndustryRole
Indicates the professional function or position an entity holds within the music industry ecosystem.
-
E.
musicIndustrySignificance
Indicates the degree to which something plays an important or influential role within the music industry.
- 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_69f224e84da08190abfc2f17494a33c8 |
completed | April 29, 2026, 3:34 p.m. |
| NER | Named-entity recognition | batch_69fd05ba6b2c81909c62b46237d10365 |
completed | May 7, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69fd03039e48819082b6e12c5453885a |
completed | May 7, 2026, 9:24 p.m. |
Created at: April 29, 2026, 9:18 p.m.