Triple

T10911365
Position Surface form Disambiguated ID Type / Status
Subject Abd al-Hadi E257705 entity
Predicate transliterationVariant P5923 FINISHED
Object Abdelhadi
Abdelhadi is a male given name of Arabic origin, commonly used in various Arabic-speaking countries and derived from the name Abd al-Hadi.
E892702 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: Abdelhadi | Statement: [Abd al-Hadi, transliterationVariant, Abdelhadi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abdelhadi
Context triple: [Abd al-Hadi, transliterationVariant, Abdelhadi]
  • A. Mounir
    Mounir is a masculine given name of Arabic origin, commonly used in various Arabic-speaking and Muslim-majority countries.
  • B. Moncef
    Moncef is a masculine given name of Arabic origin commonly used in North African 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: Abdelhadi
Triple: [Abd al-Hadi, transliterationVariant, Abdelhadi]
Generated description
Abdelhadi is a male given name of Arabic origin, commonly used in various Arabic-speaking countries and derived from the name Abd al-Hadi.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Abdelhadi
Target entity description: Abdelhadi is a male given name of Arabic origin, commonly used in various Arabic-speaking countries and derived from the name Abd al-Hadi.
  • A. Mounir
    Mounir is a masculine given name of Arabic origin, commonly used in various Arabic-speaking and Muslim-majority countries.
  • B. Moncef
    Moncef is a masculine given name of Arabic origin commonly used in North African 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

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_69d6aa864ed88190818280ab6791d065 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d77071492c8190bd6f8623a59464c9 completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e1554fc61c8190a0354e2f24cb62e4 completed April 16, 2026, 9:31 p.m.
NEDg Description generation batch_69e1801dc2e8819099bc862705871761 completed April 17, 2026, 12:34 a.m.
NED2 Entity disambiguation (via description) batch_69e1831802608190b5c3c5a4e8d8681a completed April 17, 2026, 12:47 a.m.
Created at: April 8, 2026, 9:22 p.m.