Triple

T7730107
Position Surface form Disambiguated ID Type / Status
Subject Srijit Mukherji E175226 entity
Predicate directed P7373 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: [Srijit Mukherji, directed, Jaatishwar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jaatishwar
Context triple: [Srijit Mukherji, directed, 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_69c6995e912c81909a49a2657103f786 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c703358cf881909df8496d943d6de7 completed March 27, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8be3244088190be26dec90db9cfb3 completed March 29, 2026, 5:52 a.m.
Created at: March 27, 2026, 4:06 p.m.