Triple

T7613708
Position Surface form Disambiguated ID Type / Status
Subject Allu Aravind E172306 entity
Predicate notableWork P4 FINISHED
Object Sarrainodu E604200 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: Sarrainodu | Statement: [Allu Aravind, notableWork, Sarrainodu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sarrainodu
Context triple: [Allu Aravind, notableWork, Sarrainodu]
  • A. Sarrainodu chosen
    Sarrainodu is a 2016 Indian Telugu-language action film known for its high-octane fight sequences, mass appeal, and Allu Arjun’s charismatic performance.
  • B. Gwandara
    Gwandara are an ethnic group in central Nigeria known for their distinct language and cultural traditions, primarily inhabiting parts of Nasarawa and neighboring states.
  • C. Erriadh
    Erriadh is a traditional village on the Tunisian island of Djerba, known for its historic Jewish community and the ancient El Ghriba Synagogue.
  • D. Negaraku
    Negaraku is the national anthem of Malaysia, symbolizing the country's sovereignty and unity.
  • E. Gardein
    Gardein is a plant-based food brand known for its wide range of meatless products such as chicken, beef, and fish alternatives made from soy, wheat, and pea proteins.
  • 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.