Triple

T7772265
Position Surface form Disambiguated ID Type / Status
Subject Soumitra Chatterjee E179099 entity
Predicate notableWork P4 FINISHED
Object Belaseshe
Belaseshe is a critically acclaimed Bengali drama film known for its poignant exploration of marriage, family relationships, and late-life self-discovery.
 E687703 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: Belaseshe | Statement: [Soumitra Chatterjee, notableWork, Belaseshe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Belaseshe
Context triple: [Soumitra Chatterjee, notableWork, Belaseshe]
  • A. Badesi
    Badesi is a coastal town and comune in the Gallura region of northern Sardinia, Italy, known for its long sandy beaches and tourism.
  • B. Lasha
    Lasha is the nickname of George IV of Georgia, a medieval Georgian king from the Bagrationi dynasty.
  • C. Elishua
    Elishua is a biblical figure mentioned in the Hebrew Bible as one of King David’s sons.
  • D. Akhasheni
    Akhasheni is a Georgian red wine appellation from the Kakheti region, known for its naturally semi-sweet wines made primarily from Saperavi grapes.
  • E. Belasí
    Belasí is the Slovak nickname for HC Slovan Bratislava, referring to the club’s traditional light blue team color.
  • 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: Belaseshe
Triple: [Soumitra Chatterjee, notableWork, Belaseshe]
Generated description
Belaseshe is a critically acclaimed Bengali drama film known for its poignant exploration of marriage, family relationships, and late-life self-discovery.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Belaseshe
Target entity description: Belaseshe is a critically acclaimed Bengali drama film known for its poignant exploration of marriage, family relationships, and late-life self-discovery.
  • A. Badesi
    Badesi is a coastal town and comune in the Gallura region of northern Sardinia, Italy, known for its long sandy beaches and tourism.
  • B. Lasha
    Lasha is the nickname of George IV of Georgia, a medieval Georgian king from the Bagrationi dynasty.
  • C. Elishua
    Elishua is a biblical figure mentioned in the Hebrew Bible as one of King David’s sons.
  • D. Akhasheni
    Akhasheni is a Georgian red wine appellation from the Kakheti region, known for its naturally semi-sweet wines made primarily from Saperavi grapes.
  • E. Belasí
    Belasí is the Slovak nickname for HC Slovan Bratislava, referring to the club’s traditional light blue team color.
  • 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.