Triple
T12715648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asma al-Assad |
E303831
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Asma |
E757412
|
NE FINISHED |
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: Asma | Statement: [Asma al-Assad, givenName, Asma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Asma Context triple: [Asma al-Assad, givenName, Asma]
-
A.
Asmaa
chosen
Asmaa is a feminine given name of Arabic origin commonly used in many Muslim-majority countries.
-
B.
Amna
Amna is a central female character in the Egyptian film "The Nightingale's Prayer," whose tragic story explores themes of honor, revenge, and social oppression.
-
C.
Zahra
Zahra is the given name of Princess Zahra Aga Khan, a prominent member of the Aga Khan family known for her work in international development and philanthropy.
-
D.
Asma ul Husna
Asma ul Husna refers to the 99 beautiful names of Allah in Islamic tradition, each expressing a distinct divine attribute.
-
E.
Zohra
Zohra is a character in Naguib Mahfouz’s novel "Miramar," which centers on the lives and conflicts of residents in a pension in Alexandria, Egypt.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d7bdf084148190ab9d513dc0735af4 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9620bd6148190a2f50067a4c18c14 |
completed | April 10, 2026, 8:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f671bad5108190915d14c3ec3d2e27 |
completed | May 2, 2026, 9:50 p.m. |
Created at: April 9, 2026, 5:23 p.m.