Triple
T11122117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kannada literature |
E263040
|
entity |
| Predicate | hasNotableAuthor |
P4244
|
FINISHED |
| Object | Girish Karnad |
E246233
|
NE 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: Girish Karnad | Statement: [Kannada literature, hasNotableAuthor, Girish Karnad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Girish Karnad Context triple: [Kannada literature, hasNotableAuthor, Girish Karnad]
-
A.
Girish Karnad
chosen
Girish Karnad was a prominent Indian playwright, actor, and director known for his pioneering contributions to modern Indian theatre and cinema, particularly in Kannada.
-
B.
Vijay Tendulkar
Vijay Tendulkar was a prominent Indian playwright, screenwriter, and journalist best known for his socially and politically charged Marathi plays that reshaped modern Indian theatre.
-
C.
Girish Kasaravalli
Girish Kasaravalli is an acclaimed Indian filmmaker and pioneer of Kannada art-house cinema, known for his socially conscious, realist narratives and multiple National Film Awards.
-
D.
Nira Benegal
Nira Benegal is the wife of acclaimed Indian film director and screenwriter Shyam Benegal.
-
E.
Girish Sastry
Girish Sastry is an AI researcher and entrepreneur known for his work at OpenAI, including contributions to multimodal models such as CLIP.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aa9b46cc8190b19f9f0cc45bf322 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79afa0ab88190ab6d61df8cf485ec |
completed | April 9, 2026, 12:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e42d8406988190837a16d7ad8048d1 |
completed | April 19, 2026, 1:19 a.m. |
Created at: April 8, 2026, 9:28 p.m.