Triple

T20453015
Position Surface form Disambiguated ID Type / Status
Subject Do Revenge E501702 entity
Predicate castMember P1668 FINISHED
Object Rish Shah
Rish Shah is a British actor known for his roles in film and television, including appearances in teen comedies and major streaming productions.
E1431015 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: Rish Shah | Statement: [Do Revenge, castMember, Rish Shah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rish Shah
Context triple: [Do Revenge, castMember, Rish Shah]
  • A. Shayan Munshi
    Shayan Munshi is an Indian model and actor best known for his Bollywood debut in the musical comedy film "Jhankaar Beats."
  • B. Jimmy Sheirgill
    Jimmy Sheirgill is an Indian film actor and producer known for his work in Hindi and Punjabi cinema, often portraying intense and understated romantic or dramatic roles.
  • C. Vivaan Shah
    Vivaan Shah is an Indian film actor known for his roles in Hindi cinema and as the son of acclaimed actor Naseeruddin Shah.
  • D. Rohan Oza
    Rohan Oza is a marketing executive and entrepreneur best known for building and investing in major consumer brands like Vitaminwater and for his appearances as a guest investor on Shark Tank.
  • E. Rishad
    Rishad is an Indian business executive best known as the chairman of Wipro Limited.
  • 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: Rish Shah
Triple: [Do Revenge, castMember, Rish Shah]
Generated description
Rish Shah is a British actor known for his roles in film and television, including appearances in teen comedies and major streaming productions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rish Shah
Target entity description: Rish Shah is a British actor known for his roles in film and television, including appearances in teen comedies and major streaming productions.
  • A. Shayan Munshi
    Shayan Munshi is an Indian model and actor best known for his Bollywood debut in the musical comedy film "Jhankaar Beats."
  • B. Jimmy Sheirgill
    Jimmy Sheirgill is an Indian film actor and producer known for his work in Hindi and Punjabi cinema, often portraying intense and understated romantic or dramatic roles.
  • C. Vivaan Shah
    Vivaan Shah is an Indian film actor known for his roles in Hindi cinema and as the son of acclaimed actor Naseeruddin Shah.
  • D. Rohan Oza
    Rohan Oza is a marketing executive and entrepreneur best known for building and investing in major consumer brands like Vitaminwater and for his appearances as a guest investor on Shark Tank.
  • E. Rishad
    Rishad is an Indian business executive best known as the chairman of Wipro Limited.
  • 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_69e0b4ac0a1c81908845d0f8a56abce8 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e68d039af08190827bf765b50515a8 completed April 20, 2026, 8:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08840acbb881909f91f98b5ef793db completed May 16, 2026, 2:49 p.m.
NEDg Description generation batch_6a0884e34df48190bdd70c346899e9cf completed May 16, 2026, 2:53 p.m.
NED2 Entity disambiguation (via description) batch_6a0885b207788190b37d0e78277c9dda completed May 16, 2026, 2:56 p.m.
Created at: April 16, 2026, 11:32 a.m.