Triple
T27067284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Film Award for Best Supporting Actress |
E685208
|
entity |
| Predicate | eligibleLanguages |
P73062
|
FINISHED |
| Object | All Indian languages |
—
|
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: All Indian languages | Statement: [National Film Award for Best Supporting Actress, eligibleLanguages, All Indian languages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eligibleLanguages Context triple: [National Film Award for Best Supporting Actress, eligibleLanguages, All Indian languages]
-
A.
eligibleLanguage
chosen
Indicates that a particular language satisfies the required conditions to be considered valid or allowed in a given context.
-
B.
possibleLanguage
Indicates that an entity could plausibly be expressed, interpreted, or communicated in a given language.
-
C.
languagesSpoken
Indicates that an entity is able to communicate using one or more specified languages.
-
D.
requiredLanguage
Indicates that a specific language is necessary or must be used for a given entity, action, or interaction.
-
E.
hasLanguages
Indicates that an entity is associated with one or more languages it uses, supports, or is expressed in.
- 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_69ef14835fcc81908bd737b4267ae528 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f68805b4848190b75da14996d52a38 |
completed | May 2, 2026, 11:25 p.m. |
| PD | Predicate disambiguation | batch_69f68609c0b08190a8e1238a4d97c270 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 27, 2026, 8:25 a.m.