Triple

T5128934
Position Surface form Disambiguated ID Type / Status
Subject Mrinal Sen E115647 entity
Predicate notableWork P4 FINISHED
Object Khandhar
Khandhar is a 1984 Indian art-house film directed by Mrinal Sen, acclaimed for its poignant portrayal of loneliness and decay in a rural setting.
 E496018 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: Khandhar | Statement: [Mrinal Sen, notableWork, Khandhar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Khandhar
Context triple: [Mrinal Sen, notableWork, Khandhar]
  • A. Khoshbagh
    Khoshbagh is a historic garden-cemetery complex in Murshidabad, West Bengal, known as the burial place of several Nawabs of Bengal.
  • B. Khuzdar
    Khuzdar is a major city in central Balochistan that serves as an important regional commercial and administrative center in southwestern Pakistan.
  • C. Karimabad
    Karimabad is a neighborhood in Karachi, Pakistan, known for its bustling markets and central urban location within the city.
  • D. Karimabad
    Karimabad is a picturesque town in northern Pakistan’s Hunza region, known for its stunning mountain scenery, historic forts, and role as a popular base for trekkers and tourists.
  • E. Mingora
    Mingora is the largest city in Pakistan’s Swat Valley, known as a commercial and tourist hub and as the hometown of Nobel laureate Malala Yousafzai.
  • 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: Khandhar
Triple: [Mrinal Sen, notableWork, Khandhar]
Generated description
Khandhar is a 1984 Indian art-house film directed by Mrinal Sen, acclaimed for its poignant portrayal of loneliness and decay in a rural setting.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Khandhar
Target entity description: Khandhar is a 1984 Indian art-house film directed by Mrinal Sen, acclaimed for its poignant portrayal of loneliness and decay in a rural setting.
  • A. Khoshbagh
    Khoshbagh is a historic garden-cemetery complex in Murshidabad, West Bengal, known as the burial place of several Nawabs of Bengal.
  • B. Khuzdar
    Khuzdar is a major city in central Balochistan that serves as an important regional commercial and administrative center in southwestern Pakistan.
  • C. Karimabad
    Karimabad is a neighborhood in Karachi, Pakistan, known for its bustling markets and central urban location within the city.
  • D. Karimabad
    Karimabad is a picturesque town in northern Pakistan’s Hunza region, known for its stunning mountain scenery, historic forts, and role as a popular base for trekkers and tourists.
  • E. Mingora
    Mingora is the largest city in Pakistan’s Swat Valley, known as a commercial and tourist hub and as the hometown of Nobel laureate Malala Yousafzai.
  • 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_69bd444426bc819099ccd23f141e22aa completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7825facc8190b2a6c17216290b5c completed March 20, 2026, 4:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69bec4c23d5c8190883a297254d9c80d completed March 21, 2026, 4:18 p.m.
NEDg Description generation batch_69bec6620aac8190a820190e7facd70a completed March 21, 2026, 4:25 p.m.
NED2 Entity disambiguation (via description) batch_69bec70062f48190baae277e6f8c5c4e completed March 21, 2026, 4:27 p.m.
Created at: March 20, 2026, 1:42 p.m.