Triple
T25665474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sunil |
E643500
|
entity |
| Predicate | notableForTransition |
P156287
|
FINISHED |
| Object | from comedian to lead actor in Telugu films |
—
|
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: from comedian to lead actor in Telugu films | Statement: [Sunil, notableForTransition, from comedian to lead actor in Telugu films]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableForTransition Context triple: [Sunil, notableForTransition, from comedian to lead actor in Telugu films]
-
A.
notableDeparture
Indicates that an entity has left a position, place, or role in a way that is significant or noteworthy.
-
B.
hasNotableTransition
chosen
Indicates that an entity undergoes or is associated with a significant change, shift, or transformation in state, condition, or role.
-
C.
notableTurnover
Indicates that an entity has experienced a significant change in its members, staff, or participants over a given period.
-
D.
notableChange
Indicates a significant alteration or shift in the state, condition, or characteristics of an entity or relationship.
-
E.
transitionNote
Indicates a note or annotation that describes or qualifies a change, shift, or transition from one state, condition, or context to another.
- 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_69e77e7e45648190a068ed3faa8016ea |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69fd509e6bc08190b263923c2f40fea3 |
completed | May 8, 2026, 2:55 a.m. |
| PD | Predicate disambiguation | batch_69fd4fd1a58881909d4b84de1b24e380 |
completed | May 8, 2026, 2:52 a.m. |
Created at: April 21, 2026, 7:03 p.m.