Triple

T10213099
Position Surface form Disambiguated ID Type / Status
Subject Rockstar E242377 entity
Predicate starring P1507 FINISHED
Object Piyush Mishra E401491 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: Piyush Mishra | Statement: [Rockstar, starring, Piyush Mishra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Piyush Mishra
Context triple: [Rockstar, starring, Piyush Mishra]
  • A. Piyush Mishra chosen
    Piyush Mishra is an Indian actor, lyricist, singer, and theatre artist known for his intense performances and distinctive songwriting in Hindi cinema and theatre.
  • B. Rajeev Misra
    Rajeev Misra is an Indian-born financier and executive best known for leading SoftBank’s Vision Fund, one of the world’s largest technology investment funds.
  • C. Aditya Mittal
    Aditya Mittal is an Indian businessman and heir to the Mittal family who leads ArcelorMittal, one of the world’s largest steel and mining companies.
  • D. Vipin Kumar
    Vipin Kumar is a prominent computer scientist known for his influential research in data mining and high-performance computing, particularly in applications to climate and earth sciences.
  • E. Rupesh Kumar Srivastava
    Rupesh Kumar Srivastava is a computer scientist and researcher known for his work in deep learning and neural networks, including influential collaborations with Christian Szegedy.
  • 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_69d381ae26c48190985abd0e25ee5d04 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d3aa24efc081909714d98943543283 completed April 6, 2026, 12:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d71c77f65c8190862fde1c2fae045b completed April 9, 2026, 3:26 a.m.
Created at: April 6, 2026, 11:03 a.m.