Triple
T7369114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hamid |
E169947
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Youssef Hamid
Youssef Hamid is a notable individual recognized as a prominent bearer of the surname Hamid.
|
E683918
|
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: Youssef Hamid | Statement: [Hamid, hasNotableBearer, Youssef Hamid]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Youssef Hamid Context triple: [Hamid, hasNotableBearer, Youssef Hamid]
-
A.
Youssef Amer
Youssef Amer is a notable individual recognized for bearing the surname Amer.
-
B.
Zafer Tawil
Zafer Tawil is a Palestinian-American musician and composer known for his virtuosity on traditional Middle Eastern instruments and his contributions to film scores and world music collaborations.
-
C.
Mohammed Amer
Mohammed Amer is a Palestinian-American stand-up comedian and actor best known for his role on the TV series "Ramy" and his Netflix comedy specials.
-
D.
Fady Elsayed
Fady Elsayed is a British actor known for his roles in film and television, including the Doctor Who spin-off series "Class."
-
E.
Khaled Mohieddin
Khaled Mohieddin was an Egyptian military officer, politician, and prominent leftist figure who played a key role in the 1952 revolution that overthrew the monarchy.
- 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: Youssef Hamid Triple: [Hamid, hasNotableBearer, Youssef Hamid]
Generated description
Youssef Hamid is a notable individual recognized as a prominent bearer of the surname Hamid.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Youssef Hamid Target entity description: Youssef Hamid is a notable individual recognized as a prominent bearer of the surname Hamid.
-
A.
Youssef Amer
Youssef Amer is a notable individual recognized for bearing the surname Amer.
-
B.
Zafer Tawil
Zafer Tawil is a Palestinian-American musician and composer known for his virtuosity on traditional Middle Eastern instruments and his contributions to film scores and world music collaborations.
-
C.
Mohammed Amer
Mohammed Amer is a Palestinian-American stand-up comedian and actor best known for his role on the TV series "Ramy" and his Netflix comedy specials.
-
D.
Fady Elsayed
Fady Elsayed is a British actor known for his roles in film and television, including the Doctor Who spin-off series "Class."
-
E.
Khaled Mohieddin
Khaled Mohieddin was an Egyptian military officer, politician, and prominent leftist figure who played a key role in the 1952 revolution that overthrew the monarchy.
- 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_69c68a5ade988190885b7175f63b7534 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1810668819094aec4b237d08068 |
completed | March 27, 2026, 9:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8b4e3181481909eec1a09ae295923 |
completed | March 29, 2026, 5:13 a.m. |
| NEDg | Description generation | batch_69c8b61e0c308190b3231fab20bad278 |
completed | March 29, 2026, 5:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8b675ddb0819085d79dbba560d08f |
completed | March 29, 2026, 5:19 a.m. |
Created at: March 27, 2026, 3:07 p.m.