Triple

T6088557
Position Surface form Disambiguated ID Type / Status
Subject Egypt Daoud Dean E135698 entity
Predicate middleName P143 FINISHED
Object Daoud
Daoud is the middle name of Egyptian-born American engineer and academic administrator Daoud Dean.
 E575780 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: Daoud | Statement: [Egypt Daoud Dean, middleName, Daoud]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Daoud
Context triple: [Egypt Daoud Dean, middleName, Daoud]
  • A. Khader Khan
    Khader Khan is a powerful and charismatic Mumbai mafia don and philosophical mentor figure in Gregory David Roberts’ novel *Shantaram*.
  • B. Mahmoud
    Mahmoud is a common Arabic male given name widely used across the Middle East and Muslim-majority countries.
  • C. Hassan
    Hassan is a key antagonist in Lord Byron’s narrative poem "The Giaour," depicted as a powerful Ottoman leader whose actions drive the poem’s central conflict.
  • D. Hassan
    Hassan is a person known primarily as the sibling of Murad Mirza.
  • E. Hassan
    Hassan is a loyal and selfless Hazara boy whose friendship with Amir and the injustices he endures form the emotional core of the film "The Kite Runner."
  • 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: Daoud
Triple: [Egypt Daoud Dean, middleName, Daoud]
Generated description
Daoud is the middle name of Egyptian-born American engineer and academic administrator Daoud Dean.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Daoud
Target entity description: Daoud is the middle name of Egyptian-born American engineer and academic administrator Daoud Dean.
  • A. Khader Khan
    Khader Khan is a powerful and charismatic Mumbai mafia don and philosophical mentor figure in Gregory David Roberts’ novel *Shantaram*.
  • B. Mahmoud
    Mahmoud is a common Arabic male given name widely used across the Middle East and Muslim-majority countries.
  • C. Hassan
    Hassan is a person known primarily as the sibling of Murad Mirza.
  • D. Hassan
    Hassan is a key antagonist in Lord Byron’s narrative poem "The Giaour," depicted as a powerful Ottoman leader whose actions drive the poem’s central conflict.
  • E. Hassan
    Hassan is a loyal and selfless Hazara boy whose friendship with Amir and the injustices he endures form the emotional core of the film "The Kite Runner."
  • 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_69c0087bcc788190b20f093d3a6c60ec completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c057a6f7588190b265d6005fbaf6b3 completed March 22, 2026, 8:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16eb0d7dc8190b0460fe3ceab1abb completed March 23, 2026, 4:47 p.m.
NEDg Description generation batch_69c1be69647481909e997bf18830fe23 completed March 23, 2026, 10:27 p.m.
NED2 Entity disambiguation (via description) batch_69c1bed7076c8190aee074f130a091bf completed March 23, 2026, 10:29 p.m.
Created at: March 22, 2026, 4:12 p.m.