Triple

T5128933
Position Surface form Disambiguated ID Type / Status
Subject Mrinal Sen E115647 entity
Predicate notableWork P4 FINISHED
Object Kharij
Kharij is a critically acclaimed 1982 Bengali film by director Mrinal Sen that explores class conflict and urban middle-class guilt through the death of a child servant.
E496017 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: Kharij | Statement: [Mrinal Sen, notableWork, Kharij]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kharij
Context triple: [Mrinal Sen, notableWork, Kharij]
  • A. Jabriya
    Jabriya is a residential suburb in Kuwait known for its mix of apartment buildings, schools, and local shops within the Hawalli Governorate.
  • B. Kufranjah
    Kufranjah is a town in northern Jordan known for its agricultural surroundings and location within the hilly, forested region of Ajloun.
  • C. Rakah
    Rakah was an Israeli communist political party known for its strong opposition to Zionism and close alignment with the Soviet Union during the Cold War.
  • D. Khar
    Khar is a suburban neighborhood in Mumbai, India, known for its residential areas, shopping streets, and proximity to the Arabian Sea.
  • E. Talfah
    Talfah is an Iraqi family name most prominently associated with Sajida Talfah, the first wife of former Iraqi president Saddam Hussein.
  • 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: Kharij
Triple: [Mrinal Sen, notableWork, Kharij]
Generated description
Kharij is a critically acclaimed 1982 Bengali film by director Mrinal Sen that explores class conflict and urban middle-class guilt through the death of a child servant.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kharij
Target entity description: Kharij is a critically acclaimed 1982 Bengali film by director Mrinal Sen that explores class conflict and urban middle-class guilt through the death of a child servant.
  • A. Jabriya
    Jabriya is a residential suburb in Kuwait known for its mix of apartment buildings, schools, and local shops within the Hawalli Governorate.
  • B. Kufranjah
    Kufranjah is a town in northern Jordan known for its agricultural surroundings and location within the hilly, forested region of Ajloun.
  • C. Rakah
    Rakah was an Israeli communist political party known for its strong opposition to Zionism and close alignment with the Soviet Union during the Cold War.
  • D. Khar
    Khar is a suburban neighborhood in Mumbai, India, known for its residential areas, shopping streets, and proximity to the Arabian Sea.
  • E. Talfah
    Talfah is an Iraqi family name most prominently associated with Sajida Talfah, the first wife of former Iraqi president Saddam Hussein.
  • 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.