Triple

T16589017
Position Surface form Disambiguated ID Type / Status
Subject Naseeruddin Shah E403033 entity
Predicate notableWork P4 FINISHED
Object Aakrosh E545988 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: Aakrosh | Statement: [Naseeruddin Shah, notableWork, Aakrosh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aakrosh
Context triple: [Naseeruddin Shah, notableWork, Aakrosh]
  • A. Aakrosh chosen
    Aakrosh is a critically acclaimed 1980 Indian Hindi-language crime drama film directed by Govind Nihalani, known for its powerful social commentary and intense performances.
  • B. Kaalpurush
    Kaalpurush is an acclaimed Bengali film by director Buddhadeb Dasgupta that explores memory, time, and human relationships through a poetic, surreal narrative.
  • C. Pyaasa
    Pyaasa is a 1957 Indian romantic drama film directed by and starring Guru Dutt, celebrated for its poetic storytelling, memorable music, and critique of a materialistic society.
  • D. Rowdy Rathore
    Rowdy Rathore is a 2012 Indian action masala film starring Akshay Kumar as a fearless cop who battles crime in a small town.
  • E. Kallar
    Kallar was a prominent ruler of the Hindu Shahi dynasty, known for leading this early medieval Indian kingdom in the northwestern regions of the subcontinent.
  • 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_69d88387363c8190a97a0c942130de97 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3599e79288190b6bcdb6fe4a2d1fa completed April 18, 2026, 10:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a007da6d6f08190a8524b1c955b7c2e completed May 10, 2026, 12:44 p.m.
Created at: April 10, 2026, 5:16 a.m.