Triple
T10443838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Girish Karnad |
E246233
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Anju Mallige
Anju Mallige is a notable work by acclaimed Indian playwright and filmmaker Girish Karnad.
|
E868959
|
NE FINISHED |
How this triple was built (4 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: Anju Mallige | Statement: [Girish Karnad, notableWork, Anju Mallige]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anju Mallige Context triple: [Girish Karnad, notableWork, Anju Mallige]
-
A.
Gautami Tadimalla
Gautami Tadimalla is an Indian actress and television personality known for her work in South Indian cinema, particularly Tamil and Telugu films.
-
B.
Sneha Reddy
Sneha Reddy is an Indian celebrity and entrepreneur best known as the wife of Telugu film star Allu Arjun.
-
C.
Karthika Srinivas
Karthika Srinivas is an Indian film editor known for his work in Telugu cinema, including editing the blockbuster film "Pushpa: The Rise."
-
D.
Shaan Hathiramani
Shaan Hathiramani is an entrepreneur best known as a co-founder of the mobile video-sharing app Socialcam.
-
E.
Annet Mahendru
Annet Mahendru is an American actress best known for her acclaimed role as Nina Sergeevna Krilova on the television series "The Americans."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Anju Mallige Triple: [Girish Karnad, notableWork, Anju Mallige]
Generated description
Anju Mallige is a notable work by acclaimed Indian playwright and filmmaker Girish Karnad.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anju Mallige Target entity description: Anju Mallige is a notable work by acclaimed Indian playwright and filmmaker Girish Karnad.
-
A.
Gautami Tadimalla
Gautami Tadimalla is an Indian actress and television personality known for her work in South Indian cinema, particularly Tamil and Telugu films.
-
B.
Sneha Reddy
Sneha Reddy is an Indian celebrity and entrepreneur best known as the wife of Telugu film star Allu Arjun.
-
C.
Karthika Srinivas
Karthika Srinivas is an Indian film editor known for his work in Telugu cinema, including editing the blockbuster film "Pushpa: The Rise."
-
D.
Shaan Hathiramani
Shaan Hathiramani is an entrepreneur best known as a co-founder of the mobile video-sharing app Socialcam.
-
E.
Annet Mahendru
Annet Mahendru is an American actress best known for her acclaimed role as Nina Sergeevna Krilova on the television series "The Americans."
- F. None of above. chosen
Provenance (5 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_69d381c04fe08190957c26c526a3b05a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fdbe5dc48190b4291bfd0fb988eb |
completed | April 7, 2026, 12:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90d9ed4988190b4fee055eaad39c5 |
completed | April 10, 2026, 2:47 p.m. |
| NEDg | Description generation | batch_69d9107c75108190994939ab46aa642f |
completed | April 10, 2026, 3 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d9154c922c81909991f87f89c083cd |
completed | April 10, 2026, 3:20 p.m. |
Created at: April 6, 2026, 12:15 p.m.