Triple

T20328561
Position Surface form Disambiguated ID Type / Status
Subject Hamdeen Sabahi E492406 entity
Predicate familyName P18 FINISHED
Object Sabahi
Sabahi is the surname of Egyptian politician and activist Hamdeen Sabahi, known for his Nasserist views and presidential campaigns.
 E1424434 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: Sabahi | Statement: [Hamdeen Sabahi, familyName, Sabahi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sabahi
Context triple: [Hamdeen Sabahi, familyName, Sabahi]
  • A. Sabahiya
    Sabahiya is a residential district located within Kuwait’s Ahmadi Governorate.
  • B. Sangin
    Sangin is a town in southern Afghanistan that gained notoriety as a major battleground during the Afghan conflict, particularly involving British and U.S. forces.
  • C. Berar Subah
    Berar Subah was a Mughal imperial province in central India, historically known for its strategic location and administrative importance within the empire.
  • D. Rano
    Rano is a historic town and traditional emirate in northern Nigeria, located within Kano State.
  • E. Rano
    Rano is a dialect of the Uripiv-Wala-Rano-Atchin language cluster spoken in Vanuatu.
  • 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: Sabahi
Triple: [Hamdeen Sabahi, familyName, Sabahi]
Generated description
Sabahi is the surname of Egyptian politician and activist Hamdeen Sabahi, known for his Nasserist views and presidential campaigns.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sabahi
Target entity description: Sabahi is the surname of Egyptian politician and activist Hamdeen Sabahi, known for his Nasserist views and presidential campaigns.
  • A. Sabahiya
    Sabahiya is a residential district located within Kuwait’s Ahmadi Governorate.
  • B. Sangin
    Sangin is a town in southern Afghanistan that gained notoriety as a major battleground during the Afghan conflict, particularly involving British and U.S. forces.
  • C. Berar Subah
    Berar Subah was a Mughal imperial province in central India, historically known for its strategic location and administrative importance within the empire.
  • D. Rano
    Rano is a historic town and traditional emirate in northern Nigeria, located within Kano State.
  • E. Rano
    Rano is a dialect of the Uripiv-Wala-Rano-Atchin language cluster spoken in Vanuatu.
  • 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_69e0b4a0134081909113563e1c3ba68a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e677e637e48190b5582e97fe1000c0 completed April 20, 2026, 7 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08612f90b08190a6b700906944fc27 completed May 16, 2026, 12:21 p.m.
NEDg Description generation batch_6a086231b440819087671c5c61adcdc6 completed May 16, 2026, 12:25 p.m.
NED2 Entity disambiguation (via description) batch_6a08635869148190992d75a8806f767c completed May 16, 2026, 12:30 p.m.
Created at: April 16, 2026, 11:22 a.m.