Triple

T21527174
Position Surface form Disambiguated ID Type / Status
Subject Ramakant Achrekar E531125 entity
Predicate coachOf P2169 FINISHED
Object Sachin Tendulkar NE NERFINISHED

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: Sachin Tendulkar | Statement: [Ramakant Achrekar, coachOf, Sachin Tendulkar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sachin Tendulkar
Context triple: [Ramakant Achrekar, coachOf, Sachin Tendulkar]
  • A. Sachin Tendulkar chosen
    Sachin Tendulkar is a legendary Indian cricketer widely regarded as one of the greatest batsmen in the history of the sport.
  • B. Tendulkar
    Tendulkar is a prominent Indian surname most famously associated with legendary cricketer Sachin Tendulkar and his family.
  • C. Sachin
    Sachin is an industrial suburb located within the Surat metropolitan region in the Indian state of Gujarat.
  • D. Sunil Gavaskar
    Sunil Gavaskar is a legendary Indian opening batsman widely regarded as one of the greatest cricketers of all time, renowned for his prolific Test run-scoring and record-breaking centuries.
  • E. Suresh Tendulkar
    Suresh Tendulkar was a prominent Indian economist known for his influential work on poverty measurement and economic policy, and for chairing the committee that introduced a widely used methodology for estimating poverty in India.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c45e5b8881908ac18fc2f493b114 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee88522e948190b9fa5a3587f32eae completed April 26, 2026, 9:49 p.m.
Created at: April 16, 2026, 6:26 p.m.