Triple
T25675881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bharat Ane Nenu |
E643801
|
entity |
| Predicate | featuresDebutInTelugu |
P158444
|
FINISHED |
| Object | Kiara Advani |
—
|
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: Kiara Advani | Statement: [Bharat Ane Nenu, featuresDebutInTelugu, Kiara Advani]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresDebutInTelugu Context triple: [Bharat Ane Nenu, featuresDebutInTelugu, Kiara Advani]
-
A.
debutInTeluguCinema
chosen
Indicates the event or relationship in which an entity makes its first appearance or acting role in Telugu-language cinema.
-
B.
releaseDateTelugu
Indicates the date on which something (such as a work or product) was released specifically in the Telugu language or Telugu market.
-
C.
tamilFilmDebut
Indicates the film in which a person first appeared or debuted in the Tamil-language film industry.
-
D.
releaseDateTamil
Indicates the date on which something (such as a film, album, or product) was released specifically in the Tamil language or in Tamil-speaking regions.
-
E.
teluguRemakeTitle
Indicates that the subject work is a Telugu-language remake and the object is the title of that Telugu remake.
- 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_69e77e7f69808190ad27df1006f6037a |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f71f8ee0688190bd025f27993452d3 |
completed | May 3, 2026, 10:12 a.m. |
| PD | Predicate disambiguation | batch_69f71cc405c08190863565609a4c8499 |
completed | May 3, 2026, 10 a.m. |
Created at: April 21, 2026, 7:38 p.m.