Triple

T14098500
Position Surface form Disambiguated ID Type / Status
Subject Parthasarathy shrine E339317 entity
Predicate associatedFigure P1183 FINISHED
Object Partha E26020 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: Partha | Statement: [Parthasarathy shrine, associatedFigure, Partha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Partha
Context triple: [Parthasarathy shrine, associatedFigure, Partha]
  • A. Partha chosen
    Partha is a given name commonly used in India, often associated with figures in academia, arts, and public life.
  • B. Parthibo
    Parthibo is a Bengali literary work by acclaimed author Shirshendu Mukhopadhyay, known for its distinctive storytelling and exploration of human relationships.
  • C. Partha Sarathi
    Partha Sarathi is a name commonly associated with the Hindu deity Krishna in his role as the charioteer and guide of Arjuna in the Mahabharata.
  • D. Basu
    Basu is an Indian surname, particularly common among Bengali communities, that is closely related to and sometimes used as a variant of the surname Bose.
  • E. Hemanta
    Hemanta is the cool, pre-winter season in the traditional Hindu lunisolar calendar, typically marking the transition from autumn to winter.
  • 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_69d81c69b5c8819094aa1abf18302908 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5fb926288190a7f0f50d1d585d76 completed April 14, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdf02638881908eff75453b6a2aab completed May 7, 2026, 6:50 p.m.
Created at: April 9, 2026, 10:22 p.m.