Triple

T7772182
Position Surface form Disambiguated ID Type / Status
Subject Tapan Sinha E179098 entity
Predicate notableWork P4 FINISHED
Object Ekhoni
Ekhoni is a Bengali film directed by Tapan Sinha, known for its realistic portrayal of urban youth and social issues in contemporary Kolkata.
 E687313 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: Ekhoni | Statement: [Tapan Sinha, notableWork, Ekhoni]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ekhoni
Context triple: [Tapan Sinha, notableWork, Ekhoni]
  • A. Eketāhuna
    Eketāhuna is a small rural town in New Zealand’s North Island, known for its farming community and location in the Tararua District.
  • B. Yakhin
    Yakhin is a variant form of the biblical name Jachin, traditionally associated with one of the two pillars of Solomon’s Temple.
  • C. Othomi
    Othomi is an alternative name for the Otomi people and their indigenous language of central Mexico.
  • D. Ekuona
    Ekuona is one of the traditional Akan clans of Ghana, recognized for its distinct lineage, symbols, and cultural roles within Akan society.
  • E. Nabaloi
    Nabaloi is an Austronesian language spoken by the Ibaloi people of the northern Philippines, particularly in the Benguet region of Luzon.
  • 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: Ekhoni
Triple: [Tapan Sinha, notableWork, Ekhoni]
Generated description
Ekhoni is a Bengali film directed by Tapan Sinha, known for its realistic portrayal of urban youth and social issues in contemporary Kolkata.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ekhoni
Target entity description: Ekhoni is a Bengali film directed by Tapan Sinha, known for its realistic portrayal of urban youth and social issues in contemporary Kolkata.
  • A. Eketāhuna
    Eketāhuna is a small rural town in New Zealand’s North Island, known for its farming community and location in the Tararua District.
  • B. Yakhin
    Yakhin is a variant form of the biblical name Jachin, traditionally associated with one of the two pillars of Solomon’s Temple.
  • C. Othomi
    Othomi is an alternative name for the Otomi people and their indigenous language of central Mexico.
  • D. Ekuona
    Ekuona is one of the traditional Akan clans of Ghana, recognized for its distinct lineage, symbols, and cultural roles within Akan society.
  • E. Nabaloi
    Nabaloi is an Austronesian language spoken by the Ibaloi people of the northern Philippines, particularly in the Benguet region of Luzon.
  • 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_69c8c8b75b848190a67de2040d563f86 completed March 29, 2026, 6:37 a.m.
NED2 Entity disambiguation (via description) batch_69c8c941814081909d299df5cd714c71 completed March 29, 2026, 6:40 a.m.
Created at: March 27, 2026, 4:11 p.m.