Triple

T8527976
Position Surface form Disambiguated ID Type / Status
Subject Prosenjit Chatterjee E201866 entity
Predicate alsoKnownAs P39 FINISHED
Object Bumba Da
Bumba Da is the popular nickname of Prosenjit Chatterjee, a leading Bengali film actor and one of the most influential stars in contemporary Bengali cinema.
E742124 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: Bumba Da | Statement: [Prosenjit Chatterjee, alsoKnownAs, Bumba Da]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bumba Da
Context triple: [Prosenjit Chatterjee, alsoKnownAs, Bumba Da]
  • A. Babbalanja
    Babbalanja is a philosophical and skeptical character in Herman Melville’s novel "Mardi," known for his reflective monologues and probing critiques of religion, politics, and society.
  • B. Bugaloo
    Bugaloo is a minor character in the 1994 basketball-themed drama film "Above the Rim."
  • C. Yambu
    Yambu is a coastal city in western Saudi Arabia on the Red Sea, known as an important port and industrial center.
  • D. La Bomba
    La Bomba is the famous nickname of Spanish basketball legend Juan Carlos Navarro, renowned for his explosive scoring and clutch shooting.
  • E. Linbaba
    Linbaba is the protagonist and narrator of Gregory David Roberts' novel "Shantaram," an Australian fugitive who builds a new life in the underworld of Bombay.
  • 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: Bumba Da
Triple: [Prosenjit Chatterjee, alsoKnownAs, Bumba Da]
Generated description
Bumba Da is the popular nickname of Prosenjit Chatterjee, a leading Bengali film actor and one of the most influential stars in contemporary Bengali cinema.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bumba Da
Target entity description: Bumba Da is the popular nickname of Prosenjit Chatterjee, a leading Bengali film actor and one of the most influential stars in contemporary Bengali cinema.
  • A. Babbalanja
    Babbalanja is a philosophical and skeptical character in Herman Melville’s novel "Mardi," known for his reflective monologues and probing critiques of religion, politics, and society.
  • B. Bugaloo
    Bugaloo is a minor character in the 1994 basketball-themed drama film "Above the Rim."
  • C. Yambu
    Yambu is a coastal city in western Saudi Arabia on the Red Sea, known as an important port and industrial center.
  • D. La Bomba
    La Bomba is the famous nickname of Spanish basketball legend Juan Carlos Navarro, renowned for his explosive scoring and clutch shooting.
  • E. Linbaba
    Linbaba is the protagonist and narrator of Gregory David Roberts' novel "Shantaram," an Australian fugitive who builds a new life in the underworld of Bombay.
  • 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_69ca83228b24819085d22e7dc99f5d94 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe672e0588190a84328e1bf974f08 completed March 31, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6d54ef908190970a1010c8018abd completed April 2, 2026, 1:21 p.m.
NEDg Description generation batch_69ce71cd3320819090f2e09f51493f9a completed April 2, 2026, 1:40 p.m.
NED2 Entity disambiguation (via description) batch_69ce725a4cf081909cd470fd4d7452ca completed April 2, 2026, 1:42 p.m.
Created at: March 30, 2026, 6:17 p.m.