Triple

T16091136
Position Surface form Disambiguated ID Type / Status
Subject Sheikh Mujibur Rahman E390358 entity
Predicate child P120 FINISHED
Object Sheikh Jamal
Sheikh Jamal was a Bangladeshi army officer and the second son of Sheikh Mujibur Rahman, who was killed along with most of his family during the 1975 military coup.
E1194765 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: Sheikh Jamal | Statement: [Sheikh Mujibur Rahman, child, Sheikh Jamal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sheikh Jamal
Context triple: [Sheikh Mujibur Rahman, child, Sheikh Jamal]
  • A. Dhaka Dynamites
    Dhaka Dynamites is a professional Twenty20 cricket franchise team that competes in the Bangladesh Premier League.
  • B. Faisaly
    Faisaly is the commonly used short name for Al-Faisaly SC, a professional football club based in Saudi Arabia.
  • C. Al-Nasr
    Al-Nasr is a Libyan football club based in Benghazi that competes in the Libyan Premier League.
  • D. Mohammedan SC
    Mohammedan SC is a historic Kolkata-based Indian football club known for its passionate fanbase and longstanding presence in domestic competitions.
  • E. An-Nasr
    An-Nasr is the 110th chapter of the Qur’an, known for heralding the victory of Islam and the completion of the Prophet Muhammad’s mission.
  • 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: Sheikh Jamal
Triple: [Sheikh Mujibur Rahman, child, Sheikh Jamal]
Generated description
Sheikh Jamal was a Bangladeshi army officer and the second son of Sheikh Mujibur Rahman, who was killed along with most of his family during the 1975 military coup.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sheikh Jamal
Target entity description: Sheikh Jamal was a Bangladeshi army officer and the second son of Sheikh Mujibur Rahman, who was killed along with most of his family during the 1975 military coup.
  • A. Dhaka Dynamites
    Dhaka Dynamites is a professional Twenty20 cricket franchise team that competes in the Bangladesh Premier League.
  • B. Faisaly
    Faisaly is the commonly used short name for Al-Faisaly SC, a professional football club based in Saudi Arabia.
  • C. Al-Nasr
    Al-Nasr is a Libyan football club based in Benghazi that competes in the Libyan Premier League.
  • D. Mohammedan SC
    Mohammedan SC is a historic Kolkata-based Indian football club known for its passionate fanbase and longstanding presence in domestic competitions.
  • E. An-Nasr
    An-Nasr is the 110th chapter of the Qur’an, known for heralding the victory of Islam and the completion of the Prophet Muhammad’s mission.
  • 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_69d87f198bc48190a8b7e53ca15b7ead completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1858a00888190b8505071575dc56f completed April 17, 2026, 12:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffeb9550f0819092660f6c4b0d708e completed May 10, 2026, 2:21 a.m.
NEDg Description generation batch_69ffed526eac8190968a19738ab019e7 completed May 10, 2026, 2:28 a.m.
NED2 Entity disambiguation (via description) batch_69ffedda25fc8190b9eef3e7752f95f5 completed May 10, 2026, 2:30 a.m.
Created at: April 10, 2026, 4:59 a.m.