Triple
T16057344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saadi dynasty |
E389517
|
entity |
| Predicate | notableRuler |
P22
|
FINISHED |
| Object | Zidan Abu Maali |
E1111631
|
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: Zidan Abu Maali | Statement: [Saadi dynasty, notableRuler, Zidan Abu Maali]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zidan Abu Maali Context triple: [Saadi dynasty, notableRuler, Zidan Abu Maali]
-
A.
Zidan Abu Maali
chosen
Zidan Abu Maali was a Saadian sultan of Morocco in the early 17th century, known for his struggles to maintain dynastic power amid internal conflicts and foreign pressures.
-
B.
Marwan al-Himar
Marwan al-Himar, better known as Marwan II, was the last Umayyad caliph who ruled from 744 to 750 CE before the dynasty was overthrown by the Abbasid Revolution.
-
C.
Ghaith Abdul-Ahad
Ghaith Abdul-Ahad is an Iraqi journalist and war correspondent renowned for his frontline reporting from conflict zones across the Middle East.
-
D.
Mohammed Amer
Mohammed Amer is a Palestinian-American stand-up comedian and actor best known for his role on the TV series "Ramy" and his Netflix comedy specials.
-
E.
Marwan Kenzari
Marwan Kenzari is a Dutch-Tunisian actor known for his roles in international films such as Disney’s live-action Aladdin and various Hollywood thrillers and dramas.
- 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_69d86dae698881908327ef2d67706cb9 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1837579488190964ca004c2eb01c4 |
completed | April 17, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbe678fc8190b36737a9cd29691c |
completed | May 10, 2026, 1:14 a.m. |
Created at: April 10, 2026, 4:57 a.m.