Triple
T5462282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nishant |
E122619
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | Anant Nag |
E524114
|
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: Anant Nag | Statement: [Nishant, hasCastMember, Anant Nag]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anant Nag Context triple: [Nishant, hasCastMember, Anant Nag]
-
A.
Anant Nag
chosen
Anant Nag is a renowned Indian actor known primarily for his work in Kannada cinema, acclaimed for his versatile performances in both parallel and mainstream films.
-
B.
Anup Kumar
Anup Kumar is an Indian kabaddi player renowned for his leadership of the national team and his success in the Pro Kabaddi League.
-
C.
Paresh Babu
Paresh Babu is a central fictional character in Rabindranath Tagore’s Bengali novel "Gora," representing complex social and philosophical themes in colonial India.
-
D.
Deepak Kapur
Deepak Kapur is a computer scientist known for his influential work in automated reasoning and term rewriting systems.
-
E.
Kamal Shirwadkar
Kamal Shirwadkar was the wife of renowned Marathi poet and writer Vishnu Vaman Shirwadkar, popularly known as Kusumagraj.
- 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_69bd4643f16081908d7f29e08096115a |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd92033dd08190a90bcae6b9f149d3 |
completed | March 20, 2026, 6:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf77b24ac081908bae47b74c53eef0 |
completed | March 22, 2026, 5:01 a.m. |
Created at: March 20, 2026, 2:08 p.m.