Triple

T15814731
Position Surface form Disambiguated ID Type / Status
Subject Satya Nandan E383445 entity
Predicate name P16 FINISHED
Object Satya Nandan E383445 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: Satya Nandan | Statement: [Satya Nandan, name, Satya Nandan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Satya Nandan
Context triple: [Satya Nandan, name, Satya Nandan]
  • A. Satya Nandan chosen
    Satya Nandan was a Fijian diplomat and international lawyer renowned for his leading role in shaping the United Nations Convention on the Law of the Sea and in developing global ocean governance.
  • B. Yogendra Shukla
    Yogendra Shukla was an Indian freedom fighter and revolutionary leader associated with the independence movement against British colonial rule.
  • C. Ashok Dinda
    Ashok Dinda is an Indian fast bowler who played domestic cricket for Bengal and represented India in both One Day Internationals and Twenty20 Internationals.
  • D. Brij Mohan
    Brij Mohan is the given name of B. M. Kaul, an individual identifiable by the initials B.M. Kaul.
  • E. Madan Lal Khurana
    Madan Lal Khurana was an Indian politician from the Bharatiya Janata Party who played a key role in Delhi’s political landscape and also served in various national-level positions.
  • 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_69d86da2858c819090cc8481e7207b6e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0c4a1571881909488728f123865ad completed April 16, 2026, 11:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffa131784c8190bd6aba2cca084d20 completed May 9, 2026, 9:03 p.m.
Created at: April 10, 2026, 4:49 a.m.