Triple

T16528028
Position Surface form Disambiguated ID Type / Status
Subject Zarina Wahab E401489 entity
Predicate spouse P13 FINISHED
Object Aditya Pancholi
Aditya Pancholi is an Indian film actor and producer known for his work in Hindi cinema, often in supporting and antagonist roles.
E1232295 NE FINISHED

How this triple was built (4 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: Aditya Pancholi | Statement: [Zarina Wahab, spouse, Aditya Pancholi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aditya Pancholi
Context triple: [Zarina Wahab, spouse, Aditya Pancholi]
  • A. David Dhawan
    David Dhawan is a prominent Indian film director best known for his popular Bollywood comedy films, especially those starring Govinda in the 1990s and early 2000s.
  • B. Manish Bhasin
    Manish Bhasin is a British sports journalist and television presenter best known for his long-running work on BBC football coverage.
  • C. Vikrant Kapoor
    Vikrant Kapoor is the central male protagonist in the 1999 Bollywood musical romance film "Taal," portrayed by actor Akshaye Khanna.
  • D. Ronny Jhutti
    Ronny Jhutti is a British actor known for his work in film and television, including roles in UK dramas and comedies.
  • E. Nitesh Tiwari
    Nitesh Tiwari is an Indian film director and screenwriter best known for helming the blockbuster biographical sports drama "Dangal" and the coming-of-age hit "Chhichhore."
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Aditya Pancholi
Triple: [Zarina Wahab, spouse, Aditya Pancholi]
Generated description
Aditya Pancholi is an Indian film actor and producer known for his work in Hindi cinema, often in supporting and antagonist roles.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Aditya Pancholi
Target entity description: Aditya Pancholi is an Indian film actor and producer known for his work in Hindi cinema, often in supporting and antagonist roles.
  • A. David Dhawan
    David Dhawan is a prominent Indian film director best known for his popular Bollywood comedy films, especially those starring Govinda in the 1990s and early 2000s.
  • B. Manish Bhasin
    Manish Bhasin is a British sports journalist and television presenter best known for his long-running work on BBC football coverage.
  • C. Vikrant Kapoor
    Vikrant Kapoor is the central male protagonist in the 1999 Bollywood musical romance film "Taal," portrayed by actor Akshaye Khanna.
  • D. Ronny Jhutti
    Ronny Jhutti is a British actor known for his work in film and television, including roles in UK dramas and comedies.
  • E. Nitesh Tiwari
    Nitesh Tiwari is an Indian film director and screenwriter best known for helming the blockbuster biographical sports drama "Dangal" and the coming-of-age hit "Chhichhore."
  • F. None of above. chosen

Provenance (5 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_69d883838abc8190bc79cb2d41733ce2 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32ed57be481908625d4c5aab0940c completed April 18, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00a508505881909cb7582916ad037c completed May 10, 2026, 3:32 p.m.
NEDg Description generation batch_6a00a685753881908c3fef10823ce569 completed May 10, 2026, 3:38 p.m.
NED2 Entity disambiguation (via description) batch_6a00a7174f5c8190891ddd180c50aee3 completed May 10, 2026, 3:41 p.m.
Created at: April 10, 2026, 5:14 a.m.