Triple

T16685743
Position Surface form Disambiguated ID Type / Status
Subject Satish Kaushik E405456 entity
Predicate notableWork P4 FINISHED
Object Thar
Thar is a Hindi-language neo-noir thriller film set in the Rajasthan desert, known for its gritty atmosphere and starring Anil Kapoor and Harshvardhan Kapoor.
 E1227464 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: Thar | Statement: [Satish Kaushik, notableWork, Thar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Thar
Context triple: [Satish Kaushik, notableWork, Thar]
  • A. Thar
    Thar is a city located in Saudi Arabia’s Najran Region, near the country’s southern border.
  • B. Thar
    Thar is a vast arid desert region in northwestern India and southeastern Pakistan, known for its sand dunes, extreme climate, and distinctive Rajasthani and Sindhi cultures.
  • C. Thar
    Thar is a minor character appearing in Ursula K. Le Guin’s fantasy novel *The Tombs of Atuan*, part of the Earthsea series.
  • D. Thari
    Thari is a regional dialect of the Sindhi language spoken primarily in the Thar Desert region of Pakistan and India.
  • E. Saawariya
    Saawariya is a 2007 Hindi romantic drama film directed by Sanjay Leela Bhansali, known for its visually stylized, fairy-tale-like setting and the introduction of lead actors Ranbir Kapoor and Sonam Kapoor.
  • 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: Thar
Triple: [Satish Kaushik, notableWork, Thar]
Generated description
Thar is a Hindi-language neo-noir thriller film set in the Rajasthan desert, known for its gritty atmosphere and starring Anil Kapoor and Harshvardhan Kapoor.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Thar
Target entity description: Thar is a Hindi-language neo-noir thriller film set in the Rajasthan desert, known for its gritty atmosphere and starring Anil Kapoor and Harshvardhan Kapoor.
  • A. Thar
    Thar is a city located in Saudi Arabia’s Najran Region, near the country’s southern border.
  • B. Thar
    Thar is a vast arid desert region in northwestern India and southeastern Pakistan, known for its sand dunes, extreme climate, and distinctive Rajasthani and Sindhi cultures.
  • C. Thar
    Thar is a minor character appearing in Ursula K. Le Guin’s fantasy novel *The Tombs of Atuan*, part of the Earthsea series.
  • D. Thari
    Thari is a regional dialect of the Sindhi language spoken primarily in the Thar Desert region of Pakistan and India.
  • E. Saawariya
    Saawariya is a 2007 Hindi romantic drama film directed by Sanjay Leela Bhansali, known for its visually stylized, fairy-tale-like setting and the introduction of lead actors Ranbir Kapoor and Sonam Kapoor.
  • 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_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ea550c0819085bd36c44237a61a completed April 18, 2026, 12:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a008a43f6a08190913ca123a2377f95 completed May 10, 2026, 1:38 p.m.
NEDg Description generation batch_6a008b001c988190b0ddec3be0ed6fd0 completed May 10, 2026, 1:41 p.m.
NED2 Entity disambiguation (via description) batch_6a008ba8227881908b1ac6e30d2e7c32 completed May 10, 2026, 1:44 p.m.
Created at: April 10, 2026, 5:19 a.m.