Triple

T7772263
Position Surface form Disambiguated ID Type / Status
Subject Soumitra Chatterjee E179099 entity
Predicate notableWork P4 FINISHED
Object Kony
Kony is a critically acclaimed 1984 Bengali film directed by Saroj Dey, known for its inspiring story of a young swimmer’s struggle against social and economic adversity.
 E687702 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: Kony | Statement: [Soumitra Chatterjee, notableWork, Kony]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kony
Context triple: [Soumitra Chatterjee, notableWork, Kony]
  • A. Ghadamès
    Ghadamès is an ancient oasis town in western Libya, renowned for its well-preserved Saharan architecture and UNESCO-listed historic old quarter.
  • B. Kipsigis
    Kipsigis is a Southern Nilotic language spoken primarily by the Kipsigis people of Kenya, who are part of the larger Kalenjin ethnic group.
  • C. Haydaria
    Haydaria is a locality in Uttar Pradesh, India, known as the eastern terminus of the Purvanchal Expressway.
  • D. Kindu
    Kindu is a city in the eastern Democratic Republic of the Congo that serves as the capital of Maniema Province and an important regional transport hub.
  • E. Issa
    Issa is a masculine given name of Arabic origin commonly used in various Middle Eastern and Muslim-majority cultures.
  • 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: Kony
Triple: [Soumitra Chatterjee, notableWork, Kony]
Generated description
Kony is a critically acclaimed 1984 Bengali film directed by Saroj Dey, known for its inspiring story of a young swimmer’s struggle against social and economic adversity.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kony
Target entity description: Kony is a critically acclaimed 1984 Bengali film directed by Saroj Dey, known for its inspiring story of a young swimmer’s struggle against social and economic adversity.
  • A. Ghadamès
    Ghadamès is an ancient oasis town in western Libya, renowned for its well-preserved Saharan architecture and UNESCO-listed historic old quarter.
  • B. Kipsigis
    Kipsigis is a Southern Nilotic language spoken primarily by the Kipsigis people of Kenya, who are part of the larger Kalenjin ethnic group.
  • C. Haydaria
    Haydaria is a locality in Uttar Pradesh, India, known as the eastern terminus of the Purvanchal Expressway.
  • D. Kindu
    Kindu is a city in the eastern Democratic Republic of the Congo that serves as the capital of Maniema Province and an important regional transport hub.
  • E. Issa
    Issa is a masculine given name of Arabic origin commonly used in various Middle Eastern and Muslim-majority cultures.
  • 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_69c69f30602c819082ab52cd4af5c592 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c7046048688190a6cbc64e82b58eca completed March 27, 2026, 10:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8c7ee407881908e591d216c504b24 completed March 29, 2026, 6:34 a.m.
NEDg Description generation batch_69c8c8b84f88819086ecd371b62e2b5b completed March 29, 2026, 6:37 a.m.
NED2 Entity disambiguation (via description) batch_69c8c917a1308190ab2c8e70d6ed8c0e completed March 29, 2026, 6:39 a.m.
Created at: March 27, 2026, 4:11 p.m.