Triple

T7613707
Position Surface form Disambiguated ID Type / Status
Subject Allu Aravind E172306 entity
Predicate notableWork P4 FINISHED
Object Race Gurram E604198 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: Race Gurram | Statement: [Allu Aravind, notableWork, Race Gurram]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Race Gurram
Context triple: [Allu Aravind, notableWork, Race Gurram]
  • A. Race Gurram chosen
    Race Gurram is a 2014 Telugu-language action-comedy film starring Allu Arjun that became a major commercial success and is widely regarded as one of his breakthrough mass entertainers.
  • B. Bommarillu
    Bommarillu is a popular 2006 Telugu romantic comedy-drama film celebrated for its engaging family-centric story, charming performances, and memorable music.
  • C. Veera Simha Reddy
    Veera Simha Reddy is a 2023 Telugu-language action drama film starring Nandamuri Balakrishna, known for its mass-action sequences and rural faction backdrop.
  • D. Rajakumarudu
    Rajakumarudu is a 1999 Telugu romantic comedy film that marked the rise of Mahesh Babu as a major star in the South Indian film industry.
  • E. Rangasthalam
    Rangasthalam is a critically acclaimed Telugu-language period action drama film known for its rustic village setting, powerful performances, and direction by Sukumar.
  • 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_69c6994f50808190ba228764bb422417 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6fa418ef081908fd17ff367520995 completed March 27, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c86868dce08190b31229ff2e06fe0c completed March 28, 2026, 11:46 p.m.
Created at: March 27, 2026, 3:55 p.m.