Triple

T1183801
Position Surface form Disambiguated ID Type / Status
Subject Ahmed E25198 entity
Predicate hasTypicalNickname P11214 FINISHED
Object Hamed
Hamed is a masculine given name commonly used in Arabic-speaking and Muslim-majority cultures.
 E149448 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: Hamed | Statement: [Ahmed, hasTypicalNickname, Hamed]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hamed
Context triple: [Ahmed, hasTypicalNickname, Hamed]
  • A. 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.
  • B. Mahmoud
    Mahmoud is a common Arabic male given name widely used across the Middle East and Muslim-majority countries.
  • C. Ahmed
    Ahmed is a common Arabic male given name meaning "most commendable" or "most praiseworthy."
  • D. Rashid
    Rashid is one of the child mascots created to represent the themes of innovation and optimism at Expo 2020 Dubai.
  • E. Yahya
    Yahya is the Islamic prophet identified with John the Baptist, revered for his piety, asceticism, and role in heralding the coming of Prophet Isa (Jesus).
  • 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: Hamed
Triple: [Ahmed, hasTypicalNickname, Hamed]
Generated description
Hamed is a masculine given name commonly used in Arabic-speaking and Muslim-majority cultures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hamed
Target entity description: Hamed is a masculine given name commonly used in Arabic-speaking and Muslim-majority cultures.
  • A. 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.
  • B. Mahmoud
    Mahmoud is a common Arabic male given name widely used across the Middle East and Muslim-majority countries.
  • C. Ahmed
    Ahmed is a common Arabic male given name meaning "most commendable" or "most praiseworthy."
  • D. Rashid
    Rashid is one of the child mascots created to represent the themes of innovation and optimism at Expo 2020 Dubai.
  • E. Yahya
    Yahya is the Islamic prophet identified with John the Baptist, revered for his piety, asceticism, and role in heralding the coming of Prophet Isa (Jesus).
  • 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_69a49427d98881908646d6c63b8cea1e completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bf15423481909cb3e661e58d3d94 completed March 1, 2026, 10:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69acb2f6f3e4819099310a5e21455c21 completed March 7, 2026, 11:21 p.m.
NEDg Description generation batch_69acb3ff59488190a05fd3400e76dd56 completed March 7, 2026, 11:25 p.m.
NED2 Entity disambiguation (via description) batch_69acb47f0b088190b3eb32101c5e6f89 completed March 7, 2026, 11:27 p.m.
Created at: March 1, 2026, 7:45 p.m.