Triple

T16199919
Position Surface form Disambiguated ID Type / Status
Subject Maya Pfaff E393169 entity
Predicate hasAncestor P369 FINISHED
Object Anita Bose Pfaff E84302 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: Anita Bose Pfaff | Statement: [Maya Pfaff, hasAncestor, Anita Bose Pfaff]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anita Bose Pfaff
Context triple: [Maya Pfaff, hasAncestor, Anita Bose Pfaff]
  • A. Anita Bose Pfaff chosen
    Anita Bose Pfaff is a German economist and academic, best known as the daughter of Indian independence leader Subhas Chandra Bose.
  • B. Prabhavati Bose
    Prabhavati Bose was an Indian woman best known as the mother of prominent freedom fighter and nationalist leader Subhas Chandra Bose.
  • C. Madhabi Mukherjee
    Madhabi Mukherjee is a renowned Indian actress best known for her powerful performances in classic Bengali films, particularly in collaboration with director Satyajit Ray.
  • D. Anuradha Banerjee
    Anuradha Banerjee is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Banerjee.
  • E. Ruma Bose
    Ruma Bose is an entrepreneur, investor, and author known for her leadership roles in social impact ventures and global business initiatives.
  • 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_69d87f1f5bd08190bd01cac0d5b9d2ef completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e22709b0d88190b40787e0520d02ab completed April 17, 2026, 12:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffff1107908190afda091b53317d81 completed May 10, 2026, 3:44 a.m.
Created at: April 10, 2026, 5:03 a.m.