Triple

T15128051
Position Surface form Disambiguated ID Type / Status
Subject Pranab Mukherjee E361342 entity
Predicate givenName P17 FINISHED
Object Pranab E361342 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: Pranab | Statement: [Pranab Mukherjee, givenName, Pranab]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pranab
Context triple: [Pranab Mukherjee, givenName, Pranab]
  • A. Pranab Mukherjee chosen
    Pranab Mukherjee was an Indian statesman who served as the 13th President of India and held several key ministerial portfolios over a long parliamentary career.
  • B. Pranab Sen
    Pranab Sen is an Indian physicist and academic known for his contributions to statistical physics and complex systems.
  • C. Jyoti Basu
    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.
  • D. Gujarmal Modi
    Gujarmal Modi was an Indian industrialist and philanthropist who founded the Modi Group and played a key role in the industrial development of northern India.
  • E. Manmohan Singh
    Manmohan Singh is an Indian economist and politician who served as the 13th Prime Minister of India from 2004 to 2014.
  • 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_69d85a06450081909c5a14ea9851a15e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e005aff2648190bda885c09421758d completed April 15, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69febfe6c9cc8190b15e81092faa8ccf completed May 9, 2026, 5:02 a.m.
Created at: April 10, 2026, 3:06 a.m.