Triple
T25255698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kannada cinema |
E633167
|
entity |
| Predicate | firstTalkieFilm |
P154034
|
FINISHED |
| Object | Sati Sulochana |
—
|
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: Sati Sulochana | Statement: [Kannada cinema, firstTalkieFilm, Sati Sulochana]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstTalkieFilm Context triple: [Kannada cinema, firstTalkieFilm, Sati Sulochana]
-
A.
firstSoundFilm
chosen
Indicates that the subject is the earliest film to incorporate synchronized recorded sound (as opposed to being a silent film).
-
B.
firstFeatureAnimatedFilm
Indicates that the subject is the first animated feature film associated with, or fulfilling a particular role or distinction for, the object.
-
C.
firstFeatureFilmRelease
Indicates the date or event of an entity’s debut feature-length film being publicly released.
-
D.
firstUsedInFeatureFilm
Indicates that something (such as a technique, character, or element) made its earliest appearance or application in a particular feature film.
-
E.
firstFilmTitle
Indicates the title of the first film associated with a given entity.
- 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_69e75a922ad481908f4f1f884583cb42 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f7886be6d8819095ec62e4f2cee858 |
completed | May 3, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_69f7841440f48190b4346c08855951d2 |
completed | May 3, 2026, 5:21 p.m. |
Created at: April 21, 2026, 1:13 p.m.