Triple
T25490847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aadi |
E638831
|
entity |
| Predicate | isBreakthroughFilmFor |
P115242
|
FINISHED |
| Object | N. T. Rama Rao Jr. |
—
|
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: N. T. Rama Rao Jr. | Statement: [Aadi, isBreakthroughFilmFor, N. T. Rama Rao Jr.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isBreakthroughFilmFor Context triple: [Aadi, isBreakthroughFilmFor, N. T. Rama Rao Jr.]
-
A.
hasBreakthroughRoleFor
Indicates that an entity serves as a major, career-defining or pivotal role for another entity, marking a significant breakthrough or turning point.
-
B.
gaveBreakthroughTo
Indicates that one entity provided another entity with a decisive insight, discovery, or advancement that significantly improved their progress or understanding.
-
C.
firstAwardedForFilm
Indicates the film for which an entity (such as a person or award) was first given or received an award.
-
D.
leadActorBreakthrough
Indicates that the actor had a breakthrough or career-defining leading role in the referenced work or context.
-
E.
breakthroughWorkOf
chosen
Indicates that one work is recognized as the major breakthrough or career-defining achievement of a particular creator or entity.
- 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_69f5f7a6493481908fccf217f6296b95 |
completed | May 2, 2026, 1:09 p.m. |
| PD | Predicate disambiguation | batch_69f468421ba08190880eac99135e5970 |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 21, 2026, 2:38 p.m.