Triple

T11424758
Position Surface form Disambiguated ID Type / Status
Subject Rishi Kapoor E270718 entity
Predicate notableWork P4 FINISHED
Object Do Dooni Chaar E900387 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: Do Dooni Chaar | Statement: [Rishi Kapoor, notableWork, Do Dooni Chaar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Do Dooni Chaar
Context triple: [Rishi Kapoor, notableWork, Do Dooni Chaar]
  • A. Do Dooni Chaar chosen
    Do Dooni Chaar is a 1968 Hindi-language comedy film known for its lighthearted storytelling and performances, loosely inspired by Shakespeare's "The Comedy of Errors."
  • B. Do Aur Do Paanch
    Do Aur Do Paanch is a 1980 Hindi action-comedy film starring Shashi Kapoor and Amitabh Bachchan, known for its lighthearted story of rival thieves and its popular music.
  • C. Dhool
    Dhool is a popular 2003 Tamil action-comedy film starring Vikram, known for its mass appeal, energetic performances, and hit soundtrack.
  • D. Dilwaala
    Dilwaala is an Indian film best known for featuring actress Persis Khambatta in a notable role.
  • E. Phillauri
    Phillauri is a 2017 Indian romantic comedy-drama film that blends elements of fantasy and reincarnation, featuring a ghost bride entangled in a modern-day Punjabi wedding.
  • 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_69d6aadeef688190874bcecd88b3dd9b completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d806be9c2c819084da13101cbb6c81 completed April 9, 2026, 8:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5b8b553808190bf8b40d9b03e12b7 completed April 20, 2026, 5:25 a.m.
Created at: April 8, 2026, 9:35 p.m.