Triple

T5673185
Position Surface form Disambiguated ID Type / Status
Subject al-Jawad family E125024 entity
Predicate hasMember P10 FINISHED
Object Fahmy
Fahmy is a member of the al-Jawad family, a familial group likely recognized within its cultural or regional community.
 E535791 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: Fahmy | Statement: [al-Jawad family, hasMember, Fahmy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fahmy
Context triple: [al-Jawad family, hasMember, Fahmy]
  • A. Fady Elsayed
    Fady Elsayed is a British actor known for his roles in film and television, including the Doctor Who spin-off series "Class."
  • B. Amer Wagdi
    Amer Wagdi is a central character in Naguib Mahfouz’s novel "Miramar," representing the older generation’s memories and perspectives amid Egypt’s social and political change.
  • C. Fayez
    Fayez is an Arabic male given name commonly used in the Middle East and North Africa, meaning "victorious" or "successful."
  • D. Marwan Kenzari
    Marwan Kenzari is a Dutch-Tunisian actor known for his roles in international films such as Disney’s live-action Aladdin and various Hollywood thrillers and dramas.
  • E. Ayman
    Ayman is a masculine given name of Arabic origin meaning "right-handed," "blessed," or "fortunate."
  • 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: Fahmy
Triple: [al-Jawad family, hasMember, Fahmy]
Generated description
Fahmy is a member of the al-Jawad family, a familial group likely recognized within its cultural or regional community.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fahmy
Target entity description: Fahmy is a member of the al-Jawad family, a familial group likely recognized within its cultural or regional community.
  • A. Fady Elsayed
    Fady Elsayed is a British actor known for his roles in film and television, including the Doctor Who spin-off series "Class."
  • B. Amer Wagdi
    Amer Wagdi is a central character in Naguib Mahfouz’s novel "Miramar," representing the older generation’s memories and perspectives amid Egypt’s social and political change.
  • C. Fayez
    Fayez is an Arabic male given name commonly used in the Middle East and North Africa, meaning "victorious" or "successful."
  • D. Marwan Kenzari
    Marwan Kenzari is a Dutch-Tunisian actor known for his roles in international films such as Disney’s live-action Aladdin and various Hollywood thrillers and dramas.
  • E. Ayman
    Ayman is a masculine given name of Arabic origin meaning "right-handed," "blessed," or "fortunate."
  • 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_69c008295c808190acfe78915e7d656a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c023700ba88190ba7c829785f20c82 completed March 22, 2026, 5:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04db5c9a08190b1d6b7db87d0d9ac completed March 22, 2026, 8:14 p.m.
NEDg Description generation batch_69c04ee03d1c819096a5acf0358165c1 completed March 22, 2026, 8:19 p.m.
NED2 Entity disambiguation (via description) batch_69c04ffb0fb8819080dff2a9ec6eacb4 completed March 22, 2026, 8:24 p.m.
Created at: March 22, 2026, 3:43 p.m.