Triple

T3848594
Position Surface form Disambiguated ID Type / Status
Subject Mangal Pandey: The Rising E85233 entity
Predicate leadActress P6108 FINISHED
Object Rani Mukerji E394109 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: Rani Mukerji | Statement: [Mangal Pandey: The Rising, leadActress, Rani Mukerji]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rani Mukerji
Context triple: [Mangal Pandey: The Rising, leadActress, Rani Mukerji]
  • A. Rani Mukerji chosen
    Rani Mukerji is an acclaimed Indian film actress known for her versatile performances in numerous successful Hindi movies since the late 1990s.
  • B. Karisma Kapoor
    Karisma Kapoor is an acclaimed Indian film actress best known for her leading roles in popular Hindi movies of the 1990s and early 2000s.
  • C. Dimple Kapadia
    Dimple Kapadia is a renowned Indian film actress known for her work in Hindi cinema since the 1970s, acclaimed for both mainstream and critically lauded roles.
  • D. Sridevi
    Sridevi was a legendary Indian actress celebrated for her versatile performances across Tamil, Hindi, and other regional cinemas, and is widely regarded as one of the greatest and most influential actresses in Indian film history.
  • E. Jyothika
    Jyothika is a prominent Indian film actress best known for her leading roles in Tamil-language movies, where she has earned critical acclaim and several major awards.
  • 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_69aed936de1c81908f91bed80f70abb2 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeebcc8a0481909c35161336bdfbf9 completed March 9, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51c7b37048190a22907ffc85140c3 completed March 14, 2026, 8:29 a.m.
Created at: March 9, 2026, 3:19 p.m.