Triple
T29947370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ayan (Tamil film soundtrack) |
E760670
|
entity |
| Predicate | featuresLeadActorsOnCover |
P200805
|
FINISHED |
| Object | Suriya |
—
|
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: Suriya | Statement: [Ayan (Tamil film soundtrack), featuresLeadActorsOnCover, Suriya]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresLeadActorsOnCover Context triple: [Ayan (Tamil film soundtrack), featuresLeadActorsOnCover, Suriya]
-
A.
notableCover
Indicates that one entity is a particularly well-known or significant cover version or adaptation of another entity.
-
B.
filmLeadCharacter
Indicates that a person or character serves as the primary or central protagonist in a film.
-
C.
hasFictionalLeadCharacter
Indicates that a creative work features a particular fictional character as its main or leading protagonist.
-
D.
hasBeenOnCoverOf
Indicates that an entity has appeared on the front cover of a specified publication or media outlet.
-
E.
originalCast
Indicates that the subject is a member of the initial group of performers or participants who first originated a role or production.
- 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_69f2246562b881909d57622f4086d43d |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69ffada24d188190a576a02dc280a7fb |
completed | May 9, 2026, 9:56 p.m. |
| PD | Predicate disambiguation | batch_69ffad46d6ac819081772f408b1389d5 |
completed | May 9, 2026, 9:55 p.m. |
| PDg | Predicate description generation | batch_69ffada149748190916bfd9b87356342 |
completed | May 9, 2026, 9:56 p.m. |
Created at: April 29, 2026, 6:24 p.m.