Triple
T13117795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taymour Jumblatt |
E311139
|
entity |
| Predicate | notableRelative |
P367
|
FINISHED |
| Object |
Asmahan Arslan
Asmahan Arslan is a prominent Lebanese Druze political figure and member of the influential Arslan family.
|
E1023497
|
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: Asmahan Arslan | Statement: [Taymour Jumblatt, notableRelative, Asmahan Arslan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Asmahan Arslan Context triple: [Taymour Jumblatt, notableRelative, Asmahan Arslan]
-
A.
Asma Akhras
Asma Akhras, better known as Asma al-Assad, is the British-born First Lady of Syria and wife of President Bashar al-Assad.
-
B.
Riza Aziz
Riza Aziz is a Malaysian film producer and co-founder of Red Granite Pictures, known for financing high-profile Hollywood films and being embroiled in the 1MDB corruption scandal.
-
C.
Anna Kashfi
Anna Kashfi was a British-Indian actress and the first wife of Hollywood star Marlon Brando.
-
D.
Tahani Al-Jamil
Tahani Al-Jamil is a wealthy, status-obsessed British socialite known for her constant name-dropping and deep-seated insecurities in the comedy series "The Good Place."
-
E.
Aida Helal
Aida Helal is an actress known for her role in the classic Egyptian film "The Nightingale's Prayer."
- 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: Asmahan Arslan Triple: [Taymour Jumblatt, notableRelative, Asmahan Arslan]
Generated description
Asmahan Arslan is a prominent Lebanese Druze political figure and member of the influential Arslan family.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Asmahan Arslan Target entity description: Asmahan Arslan is a prominent Lebanese Druze political figure and member of the influential Arslan family.
-
A.
Asma Akhras
Asma Akhras, better known as Asma al-Assad, is the British-born First Lady of Syria and wife of President Bashar al-Assad.
-
B.
Riza Aziz
Riza Aziz is a Malaysian film producer and co-founder of Red Granite Pictures, known for financing high-profile Hollywood films and being embroiled in the 1MDB corruption scandal.
-
C.
Anna Kashfi
Anna Kashfi was a British-Indian actress and the first wife of Hollywood star Marlon Brando.
-
D.
Tahani Al-Jamil
Tahani Al-Jamil is a wealthy, status-obsessed British socialite known for her constant name-dropping and deep-seated insecurities in the comedy series "The Good Place."
-
E.
Aida Helal
Aida Helal is an actress known for her role in the classic Egyptian film "The Nightingale's Prayer."
- 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98182011c8190a504678affbb7787 |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eadcd7048190aa740262679e5bab |
completed | May 3, 2026, 6:27 a.m. |
| NEDg | Description generation | batch_69f6ec25ab3081908bff1f384f6c6083 |
completed | May 3, 2026, 6:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6ecc8f4e88190aac8ff2b24f2c78b |
completed | May 3, 2026, 6:35 a.m. |
Created at: April 9, 2026, 9:06 p.m.