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.