Triple
T33637169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy Award for Best Foreign Language Film (India's official entry) |
E861728
|
entity |
| Predicate | includesFilmsInLanguages |
P73189
|
FINISHED |
| Object | Hindi |
—
|
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: Hindi | Statement: [Academy Award for Best Foreign Language Film (India's official entry), includesFilmsInLanguages, Hindi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesFilmsInLanguages Context triple: [Academy Award for Best Foreign Language Film (India's official entry), includesFilmsInLanguages, Hindi]
-
A.
playedInLanguage
Indicates that an audiovisual work was performed or produced in a specified language.
-
B.
filmedInLanguage
Indicates that a film or video work was originally recorded using a particular spoken or signed language.
-
C.
basedInFilmLanguage
Indicates that something is created, presented, or expressed using the language employed in a particular film.
-
D.
languageOfScreenings
Indicates the language in which screenings (such as film or event showings) are presented.
-
E.
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.
- 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_69f3498280c48190bcc3494017d14234 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a033d975d788190aafc4be10d6c5c1c |
completed | May 12, 2026, 2:47 p.m. |
| PD | Predicate disambiguation | batch_6a033cc2668481908cb696e57632a68f |
completed | May 12, 2026, 2:44 p.m. |
Created at: May 1, 2026, 1:42 a.m.