Triple
T29892177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vettaiyaadu Vilaiyaadu (Tamil film soundtrack) |
E759181
|
entity |
| Predicate | associatedWithLanguageCinema |
P73189
|
FINISHED |
| Object | Tamil cinema |
E39755
|
NE 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: Tamil cinema | Statement: [Vettaiyaadu Vilaiyaadu (Tamil film soundtrack), associatedWithLanguageCinema, Tamil cinema]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithLanguageCinema Context triple: [Vettaiyaadu Vilaiyaadu (Tamil film soundtrack), associatedWithLanguageCinema, Tamil cinema]
-
A.
belongsToCinema
Indicates that something is part of, associated with, or under the ownership/management of a particular cinema.
-
B.
cinemaOf
Indicates a relationship where a cinema is associated with, belongs to, or is located within a particular place, organization, or context.
-
C.
notableLanguageOfEligibleFilms
chosen
Indicates that there is a notable language associated with the set of films that qualify as eligible under a given criterion or program.
-
D.
servesLanguageFilmIndustries
Indicates that an entity provides services or functions in support of multiple national or regional film industries distinguished by language.
-
E.
playedInLanguage
Indicates that an audiovisual work was performed or produced in a specified language.
- F. None of above.
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_69f2245f1cf88190978c70d1a1d2cb73 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_6a037c876524819098545e6037d3107d |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a27641dec08819093af8ae36d6c86f6 |
completed | June 9, 2026, 12:53 a.m. |
| PD | Predicate disambiguation | batch_6a0379e0f3d88190a4ee7b0673f1ef90 |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 29, 2026, 6:03 p.m.