Triple

T7957868
Position Surface form Disambiguated ID Type / Status
Subject Lalsalu E184784 entity
Predicate notableCharacter P1481 FINISHED
Object Majid
Majid is the central, hypocritical village mullah in Syed Waliullah’s Bengali novel *Lalsalu*, known for exploiting religion to control and deceive rural villagers.
 E705998 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: Majid | Statement: [Lalsalu, notableCharacter, Majid]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Majid
Context triple: [Lalsalu, notableCharacter, Majid]
  • A. Mehdi
    Mehdi is a common Persian male given name, often associated with Islamic and especially Shia traditions, meaning "the guided one."
  • B. Malek
    Malek is a given name and surname of Arabic origin commonly used across the Middle East and other Muslim-majority regions.
  • C. Hamed
    Hamed is a masculine given name commonly used in Arabic-speaking and Muslim-majority cultures.
  • D. Mirza
    Mirza is a historical noble title of Persian and Central Asian origin, commonly borne by princes and high-ranking members of royal and aristocratic families.
  • E. Jawad
    Jawad is a masculine given name of Arabic origin commonly used across the Middle East and Muslim-majority regions.
  • 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: Majid
Triple: [Lalsalu, notableCharacter, Majid]
Generated description
Majid is the central, hypocritical village mullah in Syed Waliullah’s Bengali novel *Lalsalu*, known for exploiting religion to control and deceive rural villagers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Majid
Target entity description: Majid is the central, hypocritical village mullah in Syed Waliullah’s Bengali novel *Lalsalu*, known for exploiting religion to control and deceive rural villagers.
  • A. Mehdi
    Mehdi is a common Persian male given name, often associated with Islamic and especially Shia traditions, meaning "the guided one."
  • B. Malek
    Malek is a given name and surname of Arabic origin commonly used across the Middle East and other Muslim-majority regions.
  • C. Hamed
    Hamed is a masculine given name commonly used in Arabic-speaking and Muslim-majority cultures.
  • D. Mirza
    Mirza is a historical noble title of Persian and Central Asian origin, commonly borne by princes and high-ranking members of royal and aristocratic families.
  • E. Jawad
    Jawad is a masculine given name of Arabic origin commonly used across the Middle East and Muslim-majority regions.
  • 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_69ca8293a2388190aace944d7ed9c0c0 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b7ebb24819094bc011d51ef63fb completed March 31, 2026, 3:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc565efef48190915892c5d8af852c completed March 31, 2026, 11:18 p.m.
NEDg Description generation batch_69cc5822581481908a143376bee599ec completed March 31, 2026, 11:26 p.m.
NED2 Entity disambiguation (via description) batch_69cc58f549388190ba6c8b41c0820cd6 completed March 31, 2026, 11:29 p.m.
Created at: March 30, 2026, 5:11 p.m.