Triple

T8527987
Position Surface form Disambiguated ID Type / Status
Subject Prosenjit Chatterjee E201866 entity
Predicate notableWork P4 FINISHED
Object Jaatishwar E685175 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: Jaatishwar | Statement: [Prosenjit Chatterjee, notableWork, Jaatishwar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jaatishwar
Context triple: [Prosenjit Chatterjee, notableWork, Jaatishwar]
  • A. Jaatishwar chosen
    Jaatishwar is a Bengali film that blends reincarnation, music, and history to explore identity across lifetimes.
  • B. Kalgidhar
    Kalgidhar is an honorific epithet of Guru Gobind Singh, emphasizing his revered status as a timeless, divine protector in Sikh tradition.
  • C. Indrapat
    Indrapat is a historical site in Delhi often associated with the legendary city of Indraprastha from the Indian epic Mahabharata.
  • D. Neeladri
    Neeladri is one of the sacred hills that form part of the Tirumala hill range associated with the Tirumala Venkateswara Temple in Andhra Pradesh, India.
  • E. Dasaratha
    Dasaratha is the legendary king of Ayodhya in the Hindu epic Ramayana and the father of Lord Rama.
  • 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_69ca83228b24819085d22e7dc99f5d94 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe672e0588190a84328e1bf974f08 completed March 31, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6d54ef908190970a1010c8018abd completed April 2, 2026, 1:21 p.m.
Created at: March 30, 2026, 6:17 p.m.