Triple

T15964511
Position Surface form Disambiguated ID Type / Status
Subject Mola Ram E387149 entity
Predicate portrayedBy P1507 FINISHED
Object Amrish Puri E520153 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: Amrish Puri | Statement: [Mola Ram, portrayedBy, Amrish Puri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amrish Puri
Context triple: [Mola Ram, portrayedBy, Amrish Puri]
  • A. Amrish Puri chosen
    Amrish Puri was a renowned Indian actor best known for his powerful villainous roles in Hindi cinema and for playing the iconic antagonist Mola Ram in the film "Indiana Jones and the Temple of Doom."
  • B. Paresh Rawal
    Paresh Rawal is a renowned Indian actor and comedian celebrated for his versatile performances in Hindi cinema and theatre.
  • C. Vikas Khanna
    Vikas Khanna is an acclaimed Indian chef, restaurateur, cookbook author, and filmmaker known for his Michelin-starred cooking and appearances on culinary television shows.
  • D. Pankaj Tripathi
    Pankaj Tripathi is an acclaimed Indian actor known for his versatile character roles in Hindi films and web series such as Gangs of Wasseypur, Newton, and Mirzapur.
  • E. Himanshu Rai
    Himanshu Rai was a prominent Indian actor and pioneering film producer-director, best known for co-founding Bombay Talkies and helping shape early Indian cinema.
  • 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_69d86da94ccc819083d187f5dc6a123e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1572475948190af0e3b12de0f6cea completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe84f4888190b3fdb5f32763f78d completed May 9, 2026, 11:08 p.m.
Created at: April 10, 2026, 4:54 a.m.