Triple
T2937374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Husayn ibn Ali |
E79299
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Husayn |
E79299
|
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: Husayn | Statement: [Husayn ibn Ali, givenName, Husayn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Husayn Context triple: [Husayn ibn Ali, givenName, Husayn]
-
A.
Husayn ibn Ali
chosen
Husayn ibn Ali is the revered grandson of the Prophet Muhammad whose martyrdom at the Battle of Karbala is a central event in Islamic, especially Shia, history and spirituality.
-
B.
Hussein
Hussein is a common Arabic surname and given name, notably borne by former Iraqi president Saddam Hussein.
-
C.
Muna al-Hussein
Muna al-Hussein is the British-born former queen consort of Jordan and the mother of King Abdullah II.
-
D.
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.
-
E.
Ali Zayn al-Abidin
Ali Zayn al-Abidin was the fourth Shia Imam, revered for his piety, scholarship, and foundational role in shaping early Shia theology and jurisprudence.
- 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_69ad8b0fbab081908f6a61567c045d8d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad983f91c48190b409d8f522cab08b |
completed | March 8, 2026, 3:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1eed825108190b3db9728d0c95fd6 |
completed | March 11, 2026, 10:38 p.m. |
Created at: March 8, 2026, 2:56 p.m.