Triple
T29732547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thevar Magan |
E752367
|
entity |
| Predicate | remakeTitleInHindi |
P166852
|
FINISHED |
| Object | Virasat |
—
|
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: Virasat | Statement: [Thevar Magan, remakeTitleInHindi, Virasat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: remakeTitleInHindi Context triple: [Thevar Magan, remakeTitleInHindi, Virasat]
-
A.
TamilRemakeTitle
Indicates that one work is a Tamil-language remake of another work, specifying the title used for the Tamil remake.
-
B.
teluguRemakeTitle
Indicates that the subject work is a Telugu-language remake and the object is the title of that Telugu remake.
-
C.
HindiTitle
chosen
Indicates that one entity serves as the Hindi-language title or name for another entity.
-
D.
titleInSanskritScript
Indicates that the title of an entity is expressed using the Sanskrit writing system.
-
E.
titleInKannadaScript
Indicates that the title of an entity is written or represented in the Kannada script.
- 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_69f0d62a36a88190bf860f00da433ff8 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f67331be608190b98b26bddb4e69b7 |
completed | May 2, 2026, 9:57 p.m. |
| PD | Predicate disambiguation | batch_69f66ac1a4fc81909740d2e52fbe6970 |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 28, 2026, 7:43 p.m.