Triple
T25490947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nandamuri family |
E638834
|
entity |
| Predicate | primaryFilmIndustry |
P101250
|
FINISHED |
| Object | Tollywood |
—
|
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: Tollywood | Statement: [Nandamuri family, primaryFilmIndustry, Tollywood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryFilmIndustry Context triple: [Nandamuri family, primaryFilmIndustry, Tollywood]
-
A.
popularFilmIndustry
Indicates that an entity has a widely recognized and well-liked film industry that attracts significant audience interest and attention.
-
B.
film
Indicates that an entity is a movie or cinematic work, or that a relationship involves such a movie.
-
C.
studioFilm
Indicates that a film is produced, distributed, or otherwise created by a particular studio.
-
D.
originatesInFilmIndustry
chosen
Indicates that something has its source, development, or primary origin within the film industry.
-
E.
sangForFilmIndustry
Indicates that a person performed singing specifically for use in the film industry, such as in movies or film soundtracks.
- 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_69e75dbbd2a88190b70e1e645de14b9a |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f7b5ccbda481908fe1945c35e36ce8 |
completed | May 3, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c06f5881908f0b98cad6796478 |
completed | May 3, 2026, 8:49 p.m. |
Created at: April 21, 2026, 2:38 p.m.