Triple

T16527704
Position Surface form Disambiguated ID Type / Status
Subject Jaideep Ahlawat E401482 entity
Predicate debutInFilm P12418 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: [Jaideep Ahlawat, debutInFilm, Aakrosh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aakrosh
Context triple: [Jaideep Ahlawat, debutInFilm, 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. 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.
  • E. Kallar
    Kallar is a river in the Indian state of Kerala known for feeding into the Pamba River and flowing through forested, hilly terrain.
  • 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_69d883838abc8190bc79cb2d41733ce2 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32ed4b8a08190b5f179fc583001a6 completed April 18, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00608efd0c81908e64419bd74eb285 completed May 10, 2026, 10:40 a.m.
Created at: April 10, 2026, 5:14 a.m.