Triple

T22936489
Position Surface form Disambiguated ID Type / Status
Subject Kanaiyalal Maneklal Munshi E569599 entity
Predicate givenName P17 FINISHED
Object Kanaiyalal NE NERFINISHED

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: Kanaiyalal | Statement: [Kanaiyalal Maneklal Munshi, givenName, Kanaiyalal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kanaiyalal
Context triple: [Kanaiyalal Maneklal Munshi, givenName, Kanaiyalal]
  • A. Kanaiyalal chosen
    Kanaiyalal is the given name of K. M. Munshi, a prominent Indian independence activist, politician, and writer who founded Bharatiya Vidya Bhavan.
  • B. Banshiwala
    Banshiwala is a Bengali novel by acclaimed writer Shirshendu Mukhopadhyay, known for its evocative storytelling and exploration of human relationships.
  • C. Dharni
    Dharni is a small town in the Amravati district of Maharashtra, India, known as a local administrative and market center for surrounding rural and tribal areas.
  • D. Kusumagraj
    Kusumagraj was the pen name of Vishnu Vaman Shirwadkar, a renowned Marathi poet, playwright, and writer celebrated for his contributions to modern Marathi literature and social activism.
  • E. Aalwar
    Aalwar is a 2007 Tamil-language action drama film starring Ajith Kumar, known for its themes of revenge and vigilantism.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24590862c8190858f180ad302adab completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1813608e48190922df7a5386dc391 completed April 29, 2026, 3:55 a.m.
Created at: April 17, 2026, 3:44 p.m.