Triple

T22433186
Position Surface form Disambiguated ID Type / Status
Subject Ishqiya E554547 entity
Predicate hasCastMember P2308 FINISHED
Object Arshad Warsi NE NERFINISHED

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: Arshad Warsi | Statement: [Ishqiya, hasCastMember, Arshad Warsi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arshad Warsi
Context triple: [Ishqiya, hasCastMember, Arshad Warsi]
  • A. Arshad Warsi chosen
    Arshad Warsi is an Indian film actor and comedian best known for his roles in popular Bollywood comedies such as the Munna Bhai and Golmaal series.
  • B. Arshad Ayub
    Arshad Ayub is a former Indian cricketer and off-spin bowler who represented India in Tests and ODIs during the late 1980s and later served as a cricket administrator.
  • C. Altaf Hussain
    Altaf Hussain is a Pakistani-British political leader and founder of the Muttahida Qaumi Movement (MQM), known for representing the interests of the Urdu-speaking Muhajir community.
  • D. Najeeb Khan
    Najeeb Khan is an Indian cinematographer best known for his work on the iconic 1992 coming-of-age sports film "Jo Jeeta Wohi Sikandar."
  • E. Mansoor Khan
    Mansoor Khan is an Indian film director and producer best known for his influential Hindi films of the late 1980s and 1990s, including the landmark romance drama "Qayamat Se Qayamat Tak."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e5010e48190ae1e9c9db9697637 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15a3320448190ae3931062599116e completed April 29, 2026, 1:09 a.m.
Created at: April 16, 2026, 8:47 p.m.