Triple

T15694671
Position Surface form Disambiguated ID Type / Status
Subject 1918 peasant movement E380427 entity
Predicate leader P981 FINISHED
Object Indulal Yagnik E78271 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: Indulal Yagnik | Statement: [1918 peasant movement, leader, Indulal Yagnik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Indulal Yagnik
Context triple: [1918 peasant movement, leader, Indulal Yagnik]
  • A. Indulal Yagnik chosen
    Indulal Yagnik was an Indian freedom fighter, socialist leader, and prominent figure in Gujarat’s nationalist and peasant movements during the struggle against British rule.
  • B. Narhari Parikh
    Narhari Parikh was an Indian freedom fighter, social worker, and close associate of Mahatma Gandhi who played a significant role in early Gandhian movements and rural reform.
  • C. Shafi Inamdar
    Shafi Inamdar was an Indian actor known for his work in Hindi films and television, particularly in popular series of the 1980s and 1990s.
  • D. Ishvar Darji
    Ishvar Darji is a low-caste Indian tailor in Rohinton Mistry's novel "A Fine Balance," whose life story reflects themes of social injustice, resilience, and the human cost of political turmoil.
  • E. Girish Sastry
    Girish Sastry is an AI researcher and entrepreneur known for his work at OpenAI, including contributions to multimodal models such as CLIP.
  • 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_69d86d99e860819094b6957cde470f2c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f50ce848190a839c4fb7306d793 completed April 16, 2026, 2:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff6eed9a8c8190a57ffce61a27ec17 completed May 9, 2026, 5:29 p.m.
Created at: April 10, 2026, 4:44 a.m.