Triple
T12640124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raghad Hussein |
E301871
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Raghad |
E301871
|
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: Raghad | Statement: [Raghad Hussein, givenName, Raghad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Raghad Context triple: [Raghad Hussein, givenName, Raghad]
-
A.
Raghad
chosen
Raghad is the first name of Raghad Hussein, the eldest daughter of former Iraqi president Saddam Hussein.
-
B.
Razan
Razan is a city in Iran located within Hamedan Province, known for its agricultural surroundings and local trade.
-
C.
المروة
المروة هو اسم علم عربي يُستخدم غالبًا للإناث ويُستمد من اسم أحد الجبلين في شعائر السعي بين الصفا والمروة في مكة.
-
D.
Fahdah
Fahdah is a Saudi princess, formally known as Princess Fahdah Mohammed Abunayyan, associated with the Saudi royal family.
-
E.
Umm Radwan
Umm Radwan is the wife of Radwan Hussainy, a character in Naguib Mahfouz’s novel "Midaq Alley," known for her role within the close-knit Cairene neighborhood depicted in the story.
- 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_69d7bdec9f9c8190b4bac675b7588211 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961499de08190bdba66ca40b021be |
completed | April 10, 2026, 8:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f668754acc8190b5585dbd35387867 |
completed | May 2, 2026, 9:11 p.m. |
Created at: April 9, 2026, 5:16 p.m.