Triple

T16272874
Position Surface form Disambiguated ID Type / Status
Subject Aamir Khan Productions E395044 entity
Predicate notableWork P4 FINISHED
Object Dangal E392744 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: Dangal | Statement: [Aamir Khan Productions, notableWork, Dangal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dangal
Context triple: [Aamir Khan Productions, notableWork, Dangal]
  • A. Dangal chosen
    Dangal is a critically acclaimed Indian sports drama film that tells the true story of wrestler Mahavir Singh Phogat training his daughters to become world-class champions.
  • B. Jawan
    Jawan is a 2023 Indian action thriller film starring Shah Rukh Khan, known for its high-octane action, social themes, and massive box-office success.
  • C. Jawan
    Jawan is a small town in the Aligarh district of Uttar Pradesh, India, known primarily as a local agricultural and market center.
  • D. Jawan
    Jawan is an alternative name for the Jawoyn, an Aboriginal Australian people from the Northern Territory known for their rich cultural heritage and connection to the Nitmiluk (Katherine Gorge) region.
  • E. Bajrangi Bhaijaan
    Bajrangi Bhaijaan is a 2015 Indian Hindi-language drama film starring Salman Khan that follows a devout man's journey to reunite a mute Pakistani girl with her family across the border.
  • 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_69d87f221d8081909b0b2063e7528ba2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2460b22d88190bdc7cf509cf74198 completed April 17, 2026, 2:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001f90d4088190915d701978f018a5 completed May 10, 2026, 6:02 a.m.
Created at: April 10, 2026, 5:05 a.m.