Triple
T2831478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hussein |
E62246
|
entity |
| Predicate | hasGivenNameForm |
P15846
|
FINISHED |
| Object | Hussein (given name) |
E62246
|
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: Hussein (given name) | Statement: [Hussein, hasGivenNameForm, Hussein (given name)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hussein (given name) Context triple: [Hussein, hasGivenNameForm, Hussein (given name)]
-
A.
Hussein
chosen
Hussein is a common Arabic surname and given name, notably borne by former Iraqi president Saddam Hussein.
-
B.
Abdullah
Abdullah is a common Arabic male given name, notably borne by King Abdullah II of Jordan.
-
C.
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.
-
D.
Muna al-Hussein
Muna al-Hussein is the British-born former queen consort of Jordan and the mother of King Abdullah II.
-
E.
Mohamed
Mohamed is a common Arabic male given name, widely used across the Muslim world in honor of the Prophet Muhammad.
- 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_69ab4c3c39188190955b9c49d98463d8 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdebd5a2c81908f0e30a0ae0eb8df |
completed | March 7, 2026, 8:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afceb771d48190a1467a6e58f756ad |
completed | March 10, 2026, 7:56 a.m. |
Created at: March 6, 2026, 10:01 p.m.