Triple
T23522056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mubarak family |
E574534
|
entity |
| Predicate | notableMember |
P10
|
FINISHED |
| Object | Alaa Mubarak |
—
|
NE NERFINISHED |
How this triple was built (2 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: Alaa Mubarak | Statement: [Mubarak family, notableMember, Alaa Mubarak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alaa Mubarak Context triple: [Mubarak family, notableMember, Alaa Mubarak]
-
A.
Alaa Mubarak
chosen
Alaa Mubarak is an Egyptian businessman best known as the elder son of former Egyptian president Hosni Mubarak and a prominent member of the Mubarak family.
-
B.
Sabir Al Mawadim
Sabir Al Mawadim is a district-level city in Yemen’s Taiz Governorate, known for its mountainous terrain and rural communities.
-
C.
Al Maafer
Al Maafer is a district-level settlement in Yemen located within the Taiz Governorate.
-
D.
Al-Mubarraz
Al-Mubarraz is a major city in Saudi Arabia’s Eastern Province, forming a twin urban area with nearby Hofuf in the fertile Al-Ahsa oasis region.
-
E.
Ad-Duha
Ad-Duha is the 93rd chapter of the Qur’an, known for consoling the Prophet Muhammad and affirming that God’s care and future blessings surpass past hardships.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245bb3dcc8190ba9a2b35972b58d0 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1aa873ad48190a86807bd4f26df82 |
completed | April 29, 2026, 6:51 a.m. |
Created at: April 17, 2026, 6:08 p.m.