Triple

T16272766
Position Surface form Disambiguated ID Type / Status
Subject Dil Chahta Hai E395041 entity
Predicate distributor P1951 FINISHED
Object Excel Entertainment E1204317 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: Excel Entertainment | Statement: [Dil Chahta Hai, distributor, Excel Entertainment]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Excel Entertainment
Context triple: [Dil Chahta Hai, distributor, Excel Entertainment]
  • A. Excel Entertainment chosen
    Excel Entertainment is an Indian film production company co-founded by Farhan Akhtar and Ritesh Sidhwani, known for producing influential Hindi films and web series.
  • B. Fun and Games
    "Fun and Games" is the title of the first act of Edward Albee’s play "Who’s Afraid of Virginia Woolf?", in which a seemingly lighthearted evening gradually reveals the toxic dynamics of a middle-aged couple’s marriage.
  • C. Generator Entertainment
    Generator Entertainment is a television production company known for its involvement in high-profile series such as the first season of "Game of Thrones."
  • D. ESGG
    ESGG is the ICAO airport code for Gothenburg Landvetter Airport, the main international airport serving the Gothenburg region in Sweden.
  • E. Game for a Laugh
    Game for a Laugh was a popular British television practical-joke and hidden-camera show that aired in the 1980s, known for its light-hearted stunts and audience participation.
  • 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.