Triple
T25235542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naatu Naatu |
E632326
|
entity |
| Predicate | featuresOnscreenPerformer |
P152890
|
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: [Naatu Naatu, featuresOnscreenPerformer, N. T. Rama Rao Jr.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresOnscreenPerformer Context triple: [Naatu Naatu, featuresOnscreenPerformer, N. T. Rama Rao Jr.]
-
A.
featuresOnScreenPerformer
chosen
Indicates that something (such as a work or production) includes a particular performer visibly appearing on screen.
-
B.
featuresPerformerCameo
Indicates that the subject includes a brief, special appearance by a performer who is not part of the main cast or lineup.
-
C.
characterPerformer
Indicates that a performer portrays or voices a particular character in a work.
-
D.
featuresPerformerType
Indicates that something includes or highlights a performer of a specified type (e.g., musician, actor, or other performance role).
-
E.
featuresSoloPerformancesBy
Indicates that the subject includes or showcases solo performances carried out by the specified performer or performers.
- 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_69e75a8ec5f88190b9eba06ae42b413a |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f6a28c7c148190bfc980aad9f678ca |
completed | May 3, 2026, 1:19 a.m. |
| PD | Predicate disambiguation | batch_69f69fe1e3c88190830bb2e9f407357e |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 21, 2026, 1:07 p.m.