Triple
T8565372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baashha |
E202787
|
entity |
| Predicate | leadActor |
P1507
|
FINISHED |
| Object | Rajinikanth |
E202437
|
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: Rajinikanth | Statement: [Baashha, leadActor, Rajinikanth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rajinikanth Context triple: [Baashha, leadActor, Rajinikanth]
-
A.
Rajinikanth
chosen
Rajinikanth is an iconic Indian film actor and cultural phenomenon, best known for his charismatic performances and larger-than-life roles primarily in Tamil cinema.
-
B.
Chiranjeevi
Chiranjeevi is a legendary Indian film actor and former politician, widely regarded as one of the biggest and most influential stars in Telugu cinema.
-
C.
Vijayakanth
Vijayakanth is an Indian actor-turned-politician best known for his leading roles in Tamil cinema and for founding the Desiya Murpokku Dravida Kazhagam (DMDK) party.
-
D.
Krishnam Raju
Krishnam Raju was a prominent Indian film actor and politician, widely known as the "Rebel Star" of Telugu cinema.
-
E.
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.
- 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_69ca8327b0a881908606ff860713964d |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe9d2331881909d92ddde90f580e9 |
completed | March 31, 2026, 3:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfb9f4e2d881908fb539e842c20e8d |
completed | April 3, 2026, 1 p.m. |
Created at: March 30, 2026, 6:20 p.m.