Triple
T23292784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince Zeid bin Ra’ad |
E590077
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | al-Hussein |
—
|
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: al-Hussein | Statement: [Prince Zeid bin Ra’ad, familyName, al-Hussein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: al-Hussein Context triple: [Prince Zeid bin Ra’ad, familyName, al-Hussein]
-
A.
Muna al-Hussein
Muna al-Hussein is the British-born former queen consort of Jordan and the mother of King Abdullah II.
-
B.
Abu al-Hussein
Abu al-Hussein is the nom de guerre of Abu al-Hussein al-Husseini al-Qurashi, a leader associated with the Islamic State (ISIS).
-
C.
Hussein
"Hussein" is a 1938 adventure novel by British author Richard Patrick Russ, better known as Patrick O’Brian, set in the Middle East and showcasing his early storytelling style.
-
D.
Hussein
chosen
Hussein is a common Arabic surname and given name, notably borne by former Iraqi president Saddam Hussein.
-
E.
bint Hussein
bint Hussein is the family name of Princess Haya, a Jordanian royal known internationally for her humanitarian work and role as a former wife of Dubai's ruler, Sheikh Mohammed bin Rashid Al Maktoum.
- 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_69e25d1af9d88190a0b9b5e8fa608618 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f196cc20c08190a6a678befe1061dd |
completed | April 29, 2026, 5:27 a.m. |
Created at: April 17, 2026, 5:02 p.m.