Triple

T6540547
Position Surface form Disambiguated ID Type / Status
Subject Allu Arjun E168274 entity
Predicate notableWork P4 FINISHED
Object Sarrainodu
Sarrainodu is a 2016 Indian Telugu-language action film known for its high-octane fight sequences, mass appeal, and Allu Arjun’s charismatic performance.
 E604200 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: Sarrainodu | Statement: [Allu Arjun, notableWork, Sarrainodu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sarrainodu
Context triple: [Allu Arjun, notableWork, Sarrainodu]
  • A. 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.
  • B. Erriadh
    Erriadh is a traditional village on the Tunisian island of Djerba, known for its historic Jewish community and the ancient El Ghriba Synagogue.
  • C. Negaraku
    Negaraku is the national anthem of Malaysia, symbolizing the country's sovereignty and unity.
  • D. 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.
  • E. Sejnane
    Sejnane is a town in northern Tunisia known for its traditional handmade pottery and rural landscapes.
  • 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: Sarrainodu
Triple: [Allu Arjun, notableWork, Sarrainodu]
Generated description
Sarrainodu is a 2016 Indian Telugu-language action film known for its high-octane fight sequences, mass appeal, and Allu Arjun’s charismatic performance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sarrainodu
Target entity description: Sarrainodu is a 2016 Indian Telugu-language action film known for its high-octane fight sequences, mass appeal, and Allu Arjun’s charismatic performance.
  • A. 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.
  • B. Erriadh
    Erriadh is a traditional village on the Tunisian island of Djerba, known for its historic Jewish community and the ancient El Ghriba Synagogue.
  • C. Negaraku
    Negaraku is the national anthem of Malaysia, symbolizing the country's sovereignty and unity.
  • D. 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.
  • E. Sejnane
    Sejnane is a town in northern Tunisia known for its traditional handmade pottery and rural landscapes.
  • 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.