Triple
T7073272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dil Raju |
E164751
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Dil Raju |
E164751
|
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: Dil Raju | Statement: [Dil Raju, name, Dil Raju]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dil Raju Context triple: [Dil Raju, name, Dil Raju]
-
A.
Dil Raju
chosen
Dil Raju is a prominent Indian film producer and distributor known for backing numerous successful and influential Telugu-language movies.
-
B.
Trivikram Srinivas
Trivikram Srinivas is a prominent Indian film director and screenwriter known for his witty dialogues and successful Telugu-language films.
-
C.
Devi Sri Prasad
Devi Sri Prasad is a prominent Indian film composer and music director best known for his energetic and chart-topping soundtracks in Telugu and other South Indian cinema.
-
D.
S. S. Rajamouli
S. S. Rajamouli is a renowned Indian film director and screenwriter best known for his epic Telugu-language blockbusters like the Baahubali series and RRR.
-
E.
Lokesh Kanagaraj
Lokesh Kanagaraj is a prominent Indian film director and screenwriter known for his stylish, high-octane action thrillers in Tamil cinema, including films like "Kaithi," "Master," and "Vikram."
- 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_69c6887b96548190a8a9b3ac8adf4119 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e4cb76548190bd98876f8ba925b7 |
completed | March 27, 2026, 8:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81ea4f7f081909c94b7062c0d4dde |
completed | March 28, 2026, 6:32 p.m. |
Created at: March 27, 2026, 2:39 p.m.