Triple
T6540560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allu Arjun |
E168274
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object |
Allu Sirish
Allu Sirish is an Indian film actor known for his work in Telugu cinema and as a member of the prominent Allu–Konidela film family.
|
E604206
|
NE FINISHED |
How this triple was built (4 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: Allu Sirish | Statement: [Allu Arjun, sibling, Allu Sirish]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Allu Sirish Context triple: [Allu Arjun, sibling, Allu Sirish]
-
A.
Karthik Bala
Karthik Bala is a video game developer and entrepreneur best known as the co-founder of the game studio Vicarious Visions.
-
B.
Allu Arjun
Allu Arjun is a popular Indian film actor renowned for his charismatic performances and exceptional dancing skills in Telugu cinema.
-
C.
N. T. Rama Rao Jr.
N. T. Rama Rao Jr. is a prominent Indian film actor known for his leading roles in Telugu cinema and his dynamic performances in action and drama films.
-
D.
Prema Kanasugalu
Prema Kanasugalu is a notable literary work by renowned Kannada writer and Jnanpith awardee Shivarama Karanth.
-
E.
Prabhasa
Prabhasa is a sacred coastal pilgrimage site in western India, traditionally associated with the Yadava clan and the end of Lord Krishna’s earthly life.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Allu Sirish Triple: [Allu Arjun, sibling, Allu Sirish]
Generated description
Allu Sirish is an Indian film actor known for his work in Telugu cinema and as a member of the prominent Allu–Konidela film family.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Allu Sirish Target entity description: Allu Sirish is an Indian film actor known for his work in Telugu cinema and as a member of the prominent Allu–Konidela film family.
-
A.
Karthik Bala
Karthik Bala is a video game developer and entrepreneur best known as the co-founder of the game studio Vicarious Visions.
-
B.
Allu Arjun
Allu Arjun is a popular Indian film actor renowned for his charismatic performances and exceptional dancing skills in Telugu cinema.
-
C.
N. T. Rama Rao Jr.
N. T. Rama Rao Jr. is a prominent Indian film actor known for his leading roles in Telugu cinema and his dynamic performances in action and drama films.
-
D.
Prema Kanasugalu
Prema Kanasugalu is a notable literary work by renowned Kannada writer and Jnanpith awardee Shivarama Karanth.
-
E.
Prabhasa
Prabhasa is a sacred coastal pilgrimage site in western India, traditionally associated with the Yadava clan and the end of Lord Krishna’s earthly life.
- F. None of above. chosen
Provenance (5 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_69c68a51564081909e93aee0dbd9cca3 |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6add7369c8190919cd7c07012a994 |
completed | March 27, 2026, 4:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d53edf108190b74098b41c143a65 |
completed | March 27, 2026, 7:06 p.m. |
| NEDg | Description generation | batch_69c6d6aba9688190ada4f921768e314e |
completed | March 27, 2026, 7:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6d837a5248190b0afb39174ac3922 |
completed | March 27, 2026, 7:19 p.m. |
Created at: March 27, 2026, 1:50 p.m.