Triple
T7164485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prabhas |
E167031
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Raghavendra
Raghavendra is a 2003 Telugu-language romantic drama film starring Prabhas in one of his early leading roles.
|
E647586
|
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: Raghavendra | Statement: [Prabhas, notableWork, Raghavendra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Raghavendra Context triple: [Prabhas, notableWork, Raghavendra]
-
A.
Srinatha
Srinatha was a renowned 14th–15th century Telugu poet and scholar celebrated for his courtly poetry and major contributions to classical Telugu literature.
-
B.
Raghava
Raghava is an epithet of the Hindu deity Rama, highlighting his lineage from the Raghu dynasty and his role as a central hero of the Ramayana.
-
C.
Shabara Svamin
Shabara Svamin was an influential early Indian philosopher and commentator whose work on the Mimamsa school’s foundational texts significantly shaped Hindu ritual and hermeneutic thought.
-
D.
Suryanarayana
Suryanarayana is a benevolent healing form of the Hindu sun god Surya, revered for restoring health and vitality.
-
E.
Pingali Surana
Pingali Surana was a prominent 16th-century Telugu poet and writer of the Vijayanagara era, renowned for his classical works such as "Kalapurnodayam."
- 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: Raghavendra Triple: [Prabhas, notableWork, Raghavendra]
Generated description
Raghavendra is a 2003 Telugu-language romantic drama film starring Prabhas in one of his early leading roles.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Raghavendra Target entity description: Raghavendra is a 2003 Telugu-language romantic drama film starring Prabhas in one of his early leading roles.
-
A.
Srinatha
Srinatha was a renowned 14th–15th century Telugu poet and scholar celebrated for his courtly poetry and major contributions to classical Telugu literature.
-
B.
Raghava
Raghava is an epithet of the Hindu deity Rama, highlighting his lineage from the Raghu dynasty and his role as a central hero of the Ramayana.
-
C.
Shabara Svamin
Shabara Svamin was an influential early Indian philosopher and commentator whose work on the Mimamsa school’s foundational texts significantly shaped Hindu ritual and hermeneutic thought.
-
D.
Suryanarayana
Suryanarayana is a benevolent healing form of the Hindu sun god Surya, revered for restoring health and vitality.
-
E.
Pingali Surana
Pingali Surana was a prominent 16th-century Telugu poet and writer of the Vijayanagara era, renowned for his classical works such as "Kalapurnodayam."
- 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_69c68888c10c819095e0383020225758 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e83168a08190937ff46797d94f3e |
completed | March 27, 2026, 8:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7b901cb608190acd25c22b38a1957 |
completed | March 28, 2026, 11:18 a.m. |
| NEDg | Description generation | batch_69c7b9a4f6848190b4f3c6a4123a001e |
completed | March 28, 2026, 11:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7ba441f8c8190a4f88b140a1563f9 |
completed | March 28, 2026, 11:23 a.m. |
Created at: March 27, 2026, 2:47 p.m.