Triple
T25296878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Filmfare Award for Best Director – Telugu |
E634238
|
entity |
| Predicate | firstAwardedForFilmIndustry |
P183469
|
FINISHED |
| Object | Telugu film industry |
—
|
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: Telugu film industry | Statement: [Filmfare Award for Best Director – Telugu, firstAwardedForFilmIndustry, Telugu film industry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstAwardedForFilmIndustry Context triple: [Filmfare Award for Best Director – Telugu, firstAwardedForFilmIndustry, Telugu film industry]
-
A.
firstAwardedForFilm
Indicates the film for which an entity (such as a person or award) was first given or received an award.
-
B.
hasAwardedForFilmIndustry
Indicates that an entity has given or conferred an award to another entity specifically for achievements in the film industry.
-
C.
associatedAwardWinningFilm
Indicates that there is a relationship between an entity and a film with which it is connected, where that film has received an award.
-
D.
mostAwardsFilm
Indicates that a film is the one that has received the highest number of awards within a given set or context.
-
E.
filmWonAcademyAwardFor
Indicates that a film received an Academy Award (Oscar) in a specified category or for a particular achievement.
- F. None of above. chosen
Provenance (4 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_69e75a9503d48190b80a005c6af0cb50 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f7a01efcc08190bba489a9099b8684 |
completed | May 3, 2026, 7:21 p.m. |
| PD | Predicate disambiguation | batch_69f79e4888248190be2f63cdfb5cd7b7 |
completed | May 3, 2026, 7:13 p.m. |
| PDg | Predicate description generation | batch_69f79f477c4c8190a35cb6d87b1dcbd1 |
completed | May 3, 2026, 7:17 p.m. |
Created at: April 21, 2026, 1:22 p.m.