Triple
T29614656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Velaiilla Pattadhari |
E754826
|
entity |
| Predicate | characterPlayedByAmalaPaul |
P9616
|
FINISHED |
| Object | Shalini |
—
|
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: Shalini | Statement: [Velaiilla Pattadhari, characterPlayedByAmalaPaul, Shalini]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterPlayedByAmalaPaul Context triple: [Velaiilla Pattadhari, characterPlayedByAmalaPaul, Shalini]
-
A.
characterPlayedByShrutiHaasan
Indicates that a specific character is portrayed or acted by Shruti Haasan.
-
B.
characterPlayedByPrabhu
Indicates that a given character is portrayed or acted by the actor Prabhu.
-
C.
playedBy
chosen
Indicates that a role, character, or performance is portrayed or executed by a specific person or agent.
-
D.
leadActorForCharacterDevdhar
Indicates that the subject is the primary actor who portrays the character Devdhar.
-
E.
leadActressCharacterName
Indicates the name of the character portrayed by the lead actress in a given work.
- 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_69f0ef85f62081909842b59fdf8717e1 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69fd7e364a648190a1e9e1d9fc76e99e |
completed | May 8, 2026, 6:09 a.m. |
| PD | Predicate disambiguation | batch_69fd7bb547608190a3b04dddbca6b8bc |
completed | May 8, 2026, 5:59 a.m. |
Created at: April 28, 2026, 6:30 p.m.