Triple

T15008635
Position Surface form Disambiguated ID Type / Status
Subject Kumail Nanjiani E377776 entity
Predicate portrayedCharacter P1668 FINISHED
Object Dinesh Chugtai E382603 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: Dinesh Chugtai | Statement: [Kumail Nanjiani, portrayedCharacter, Dinesh Chugtai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dinesh Chugtai
Context triple: [Kumail Nanjiani, portrayedCharacter, Dinesh Chugtai]
  • A. Dinesh Chugtai chosen
    Dinesh Chugtai is a socially awkward yet ambitious software engineer and programmer from the comedy TV series "Silicon Valley."
  • B. Dinesh Gupta
    Dinesh Gupta was an Indian revolutionary freedom fighter known for his role in the anti-colonial struggle against British rule in Bengal.
  • C. Ashok Dinda
    Ashok Dinda is an Indian fast bowler who played domestic cricket for Bengal and represented India in both One Day Internationals and Twenty20 Internationals.
  • D. Ajit Bhawan
    Ajit Bhawan is a historic royal residence in Jodhpur that has been converted into a luxury heritage hotel associated with the Jodhpur royal family.
  • E. Ashok Chandra
    Ashok Chandra is a computer scientist known for his contributions to theoretical computer science and complexity theory.
  • 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_69d85cd3a3c881908c71fc424d459c17 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded73348d4819091d9e7f1b0fed822 completed April 15, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9dce8240819097efddb43b79ad4b completed May 9, 2026, 2:37 a.m.
Created at: April 10, 2026, 2:55 a.m.