Triple

T10987455
Position Surface form Disambiguated ID Type / Status
Subject Abdalla Hamdok E259666 entity
Predicate familyName P18 FINISHED
Object Hamdok
Hamdok is the surname of Abdalla Hamdok, the Sudanese economist and former Prime Minister of Sudan.
E898280 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: Hamdok | Statement: [Abdalla Hamdok, familyName, Hamdok]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hamdok
Context triple: [Abdalla Hamdok, familyName, Hamdok]
  • A. Kefaya
    Kefaya is an Egyptian grassroots political movement known for opposing authoritarian rule and calling for democratic reforms in the 2000s.
  • B. Kadhimiya
    Kadhimiya is a historic district in northern Baghdad, Iraq, known for its important Shia Islamic shrines and religious significance.
  • C. Mu'allaqat
    Mu'allaqat are a celebrated collection of pre-Islamic Arabic odes renowned for their poetic excellence and foundational role in the Arabic literary tradition.
  • D. Ettahrir
    Ettahrir is a neighborhood within the Tunis metropolitan area in northern Tunisia.
  • E. Xabûr
    Xabûr is the Kurdish name for the Khabur River, a significant tributary of the Tigris in the Middle East.
  • 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: Hamdok
Triple: [Abdalla Hamdok, familyName, Hamdok]
Generated description
Hamdok is the surname of Abdalla Hamdok, the Sudanese economist and former Prime Minister of Sudan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hamdok
Target entity description: Hamdok is the surname of Abdalla Hamdok, the Sudanese economist and former Prime Minister of Sudan.
  • A. Kefaya
    Kefaya is an Egyptian grassroots political movement known for opposing authoritarian rule and calling for democratic reforms in the 2000s.
  • B. Kadhimiya
    Kadhimiya is a historic district in northern Baghdad, Iraq, known for its important Shia Islamic shrines and religious significance.
  • C. Mu'allaqat
    Mu'allaqat are a celebrated collection of pre-Islamic Arabic odes renowned for their poetic excellence and foundational role in the Arabic literary tradition.
  • D. Ettahrir
    Ettahrir is a neighborhood within the Tunis metropolitan area in northern Tunisia.
  • E. Xabûr
    Xabûr is the Kurdish name for the Khabur River, a significant tributary of the Tigris in the Middle East.
  • 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_69d6aa8a6a548190a750f944ccdc8064 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d787b3c8388190be77e95d56979a7f completed April 9, 2026, 11:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69e344e9c66c81909163cea6aa9276e0 completed April 18, 2026, 8:46 a.m.
NEDg Description generation batch_69e3556e8b408190a02a1fe194ae5750 completed April 18, 2026, 9:57 a.m.
NED2 Entity disambiguation (via description) batch_69e3591ecd548190b049ce95fe3f86d9 completed April 18, 2026, 10:12 a.m.
Created at: April 8, 2026, 9:24 p.m.