Triple
T8667434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ajith Kumar |
E205711
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Ajith Kumar |
E205711
|
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: Ajith Kumar | Statement: [Ajith Kumar, name, Ajith Kumar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ajith Kumar Context triple: [Ajith Kumar, name, Ajith Kumar]
-
A.
Ajith Kumar
chosen
Ajith Kumar is a prominent Indian film actor and racing driver best known for his leading roles in Tamil cinema and his massive fan following.
-
B.
Mahesh Babu
Mahesh Babu is a leading Indian actor and producer best known for his work in Telugu cinema, where he is celebrated for his charismatic screen presence and numerous blockbuster films.
-
C.
Vijay
Vijay is a leading Indian film actor and playback singer, predominantly known for his work in Tamil cinema and his massive fan following across South India.
-
D.
Vijay Sethupathi
Vijay Sethupathi is a critically acclaimed Indian actor, primarily known for his versatile performances in Tamil cinema across a wide range of complex and unconventional roles.
-
E.
Naveen Vikram
Naveen Vikram is an actor known for his role in the acclaimed Tamil film "Super Deluxe."
- 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_69ca83516ae88190aefe034b3bc589e3 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc48a34b808190aa9aed9cdb2900e6 |
completed | March 31, 2026, 10:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfa015416c8190acd737390a7c231a |
completed | April 3, 2026, 11:10 a.m. |
Created at: March 30, 2026, 6:31 p.m.