Triple
T7045259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | N. T. Rama Rao Jr. |
E163614
|
entity |
| Predicate | roleInTelevision |
P42172
|
FINISHED |
| Object | host of Bigg Boss Telugu (Season 1) |
—
|
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: host of Bigg Boss Telugu (Season 1) | Statement: [N. T. Rama Rao Jr., roleInTelevision, host of Bigg Boss Telugu (Season 1)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInTelevision Context triple: [N. T. Rama Rao Jr., roleInTelevision, host of Bigg Boss Telugu (Season 1)]
-
A.
playedRoleIn
Indicates that an entity performed or assumed a specific role or character within a particular event, production, or context.
-
B.
hasFictionalRole
Indicates that an entity plays or is assigned a specific role within a fictional work or narrative.
-
C.
actingRoleType
Indicates the specific type or category of role an entity performs when acting in a particular capacity or function.
-
D.
playsInRole
chosen
Indicates that an entity performs or appears in a specific role within a production, event, or context.
-
E.
creativeRole
Indicates that an entity holds a specific creative function or responsibility in relation to another entity, such as a work or project.
- 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_69c6885f598c8190b6b6495c59d8d962 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e4a3c36c819080942c59f1830ae8 |
completed | March 27, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69c6e1bb602081908bfa6186a1f5a4b4 |
completed | March 27, 2026, 7:59 p.m. |
Created at: March 27, 2026, 2:37 p.m.