Triple

T16528782
Position Surface form Disambiguated ID Type / Status
Subject Tanaji Malusare E401506 entity
Predicate honorificTitle P2097 FINISHED
Object Sardar E277530 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: Sardar | Statement: [Tanaji Malusare, honorificTitle, Sardar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sardar
Context triple: [Tanaji Malusare, honorificTitle, Sardar]
  • A. Sardar chosen
    Sardar is a historical Indian honorific denoting a military or political leader, especially prominent among Maratha and other regional nobility.
  • B. Kripalani
    Kripalani is an Indian surname most prominently associated with J. B. Kripalani, a key leader in India’s independence movement and former president of the Indian National Congress.
  • C. Quaid
    Quaid is a surname most notably associated with the American acting family that includes Randy Quaid and his brother Dennis Quaid.
  • D. Nandlal
    Nandlal is an Indian given name, notably borne by Nandlal Nehru, an early 20th-century lawyer and member of the prominent Nehru family.
  • E. Mamik Singh
    Mamik Singh is an Indian actor best known for his role in the cult classic sports drama film "Jo Jeeta Wohi Sikandar."
  • 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_69d883838abc8190bc79cb2d41733ce2 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32ed57be481908625d4c5aab0940c completed April 18, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00608efd0c81908e64419bd74eb285 completed May 10, 2026, 10:40 a.m.
Created at: April 10, 2026, 5:14 a.m.