Triple

T10803746
Position Surface form Disambiguated ID Type / Status
Subject Basu E254908 entity
Predicate hasNotableBearer P458 FINISHED
Object Jyoti Basu E644213 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: Jyoti Basu | Statement: [Basu, hasNotableBearer, Jyoti Basu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jyoti Basu
Context triple: [Basu, hasNotableBearer, Jyoti Basu]
  • A. Jyoti Basu chosen
    Jyoti Basu was a prominent Indian communist leader and one of the country’s longest-serving chief ministers, known for his pivotal role in West Bengal’s Left Front government.
  • B. Pranab Sen
    Pranab Sen is an Indian physicist and academic known for his contributions to statistical physics and complex systems.
  • C. Lalu Prasad Yadav
    Lalu Prasad Yadav is an Indian politician and former Chief Minister of Bihar known for his populist style, influential role in regional politics, and leadership of the Rashtriya Janata Dal.
  • D. Nitish Kumar
    Nitish Kumar is an Indian politician who has served multiple terms as Chief Minister of Bihar and is a prominent leader in regional and national politics.
  • E. Shaktikanta Das
    Shaktikanta Das is an Indian economist and civil servant who has been serving as the Governor of the Reserve Bank of India.
  • 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_69d6aa61c15c8190a1839550c56e75e1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d73370e7388190885b104fc883456e completed April 9, 2026, 5:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69de567a7ea0819088a2fa10f8367d89 completed April 14, 2026, 3 p.m.
Created at: April 8, 2026, 9:18 p.m.