Triple
T9867157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maktoum bin Mohammed Al Maktoum |
E239861
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Maktoum |
E524972
|
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: Maktoum | Statement: [Maktoum bin Mohammed Al Maktoum, givenName, Maktoum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maktoum Context triple: [Maktoum bin Mohammed Al Maktoum, givenName, Maktoum]
-
A.
Al Maktoum
Al Maktoum is the ruling royal family of Dubai in the United Arab Emirates, known for its long-standing leadership and major role in the emirate’s development.
-
B.
Maktoum bin Juma Al Maktoum
chosen
Maktoum bin Juma Al Maktoum is a member of Dubai’s ruling Al Maktoum family and a prominent Emirati royal figure.
-
C.
Zayed
Zayed is a given name most prominently associated with Sheikh Zayed bin Sultan Al Nahyan, the founding father and first president of the United Arab Emirates.
-
D.
Al Anoud
Al Anoud is a Saudi princess from the Al Jiluwi branch of the royal family, known primarily as the wife of King Fahd of Saudi Arabia.
-
E.
Thani bin Mohammed
Thani bin Mohammed was an early and prominent ancestor of Qatar’s ruling Al Thani family, from whom the dynasty derives its name and lineage.
- 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_69ca84e7506c819095cbde4ff16512bb |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb3d209ac8190b9bc9ff017a132da |
completed | April 2, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1eadd95ac81909a265db37b648df0 |
completed | April 5, 2026, 4:53 a.m. |
Created at: March 30, 2026, 8:36 p.m.