Triple
T20351647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saat Pake Bandha |
E496024
|
entity |
| Predicate | hasPosterLanguage |
P83064
|
FINISHED |
| Object | Bengali |
—
|
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: Bengali | Statement: [Saat Pake Bandha, hasPosterLanguage, Bengali]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPosterLanguage Context triple: [Saat Pake Bandha, hasPosterLanguage, Bengali]
-
A.
hasPosterArtBy
Indicates that the poster artwork for an item (such as a film, event, or product) was created by a specified artist or designer.
-
B.
filmPosterCaptionLanguage
chosen
Indicates the language in which the caption or text on a film’s poster is written.
-
C.
languageDubbedIn
Indicates that the content’s audio has been dubbed into the specified language.
-
D.
originalTitleLanguage
Indicates the language in which a work’s original title was written or expressed.
-
E.
adaptedInLanguage
Indicates that a work or content has been modified or translated so it can be presented or understood in a specified language.
- 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_69e0b4a3f7f48190b37f354574028ca6 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6784f8ff48190a070888786f6a989 |
completed | April 20, 2026, 7:02 p.m. |
| PD | Predicate disambiguation | batch_69e57636b4808190bc2855af48a3ccdc |
completed | April 20, 2026, 12:41 a.m. |
Created at: April 16, 2026, 11:24 a.m.