Triple
T6969379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mythri Movie Makers |
E161563
|
entity |
| Predicate | collaboratedWith |
P435
|
FINISHED |
| Object | Chiranjeevi |
E161559
|
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: Chiranjeevi | Statement: [Mythri Movie Makers, collaboratedWith, Chiranjeevi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chiranjeevi Context triple: [Mythri Movie Makers, collaboratedWith, Chiranjeevi]
-
A.
Chiranjeevi
chosen
Chiranjeevi is a legendary Indian film actor and former politician, widely regarded as one of the biggest and most influential stars in Telugu cinema.
-
B.
Allu Venkatesh
Allu Venkatesh is an Indian film producer and member of the prominent Allu family in the Telugu cinema industry.
-
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.
Rajinikanth
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.
-
E.
Allu Aravind
Allu Aravind is a prominent Indian film producer and distributor, best known for founding the production company Geetha Arts and producing numerous successful Telugu and Hindi films.
- 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_69c68853cff881908439d488924a8283 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6db152b2081909271493a5d1469fb |
completed | March 27, 2026, 7:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c794318fb08190a9a89570b2a6999b |
completed | March 28, 2026, 8:41 a.m. |
Created at: March 27, 2026, 2:30 p.m.