Triple
T25235052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madhan Karky |
E632314
|
entity |
| Predicate | hasWrittenDialogueFor |
P158305
|
FINISHED |
| Object | Baahubali 2: The Conclusion (Tamil version) |
—
|
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: Baahubali 2: The Conclusion (Tamil version) | Statement: [Madhan Karky, hasWrittenDialogueFor, Baahubali 2: The Conclusion (Tamil version)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWrittenDialogueFor Context triple: [Madhan Karky, hasWrittenDialogueFor, Baahubali 2: The Conclusion (Tamil version)]
-
A.
hasWrittenDialogueFor
chosen
Indicates that one entity has created or authored dialogue content for another entity, such as a work, project, or production.
-
B.
hasDialogueIn
Indicates that an entity participates in or contains spoken or written dialogue within a specified context, such as a scene, work, or medium.
-
C.
hasDialogueTrait
Indicates that an entity possesses a specific characteristic or quality related to dialogue or conversational behavior.
-
D.
hasNoSpokenDialogue
Indicates that the referenced entity does not produce any spoken dialogue within the given context or work.
-
E.
spokenToCharacter
Indicates that one character has verbally addressed or communicated directly with another character.
- 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_69f48b9b687881908fd87a2f5fa0b1e7 |
completed | May 1, 2026, 11:16 a.m. |
| PD | Predicate disambiguation | batch_69f4806d93dc8190b9dff4c63186faff |
completed | May 1, 2026, 10:29 a.m. |
Created at: April 21, 2026, 1:06 p.m.