Triple
T23050065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zaki Rostom |
E573984
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Zaki Rostom |
—
|
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: Zaki Rostom | Statement: [Zaki Rostom, name, Zaki Rostom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zaki Rostom Context triple: [Zaki Rostom, name, Zaki Rostom]
-
A.
Zaki Rostom
chosen
Zaki Rostom was a prominent Egyptian actor known for his powerful portrayals of complex, often villainous characters in classic mid-20th-century Egyptian cinema.
-
B.
Zaki Nour
Zaki Nour was an Egyptian archaeologist known for unearthing the ancient solar barque of Pharaoh Khufu near the Great Pyramid at Giza.
-
C.
Zaki Salam
Zaki Salam is a notable individual recognized as a distinguished bearer of the surname Salam.
-
D.
Ali Zeidan
Ali Zeidan is a Libyan politician and former prime minister who led the country during its turbulent post-Gaddafi transition period.
-
E.
Ali Rabeh
Ali Rabeh is a French politician known for serving as the mayor of the suburban Parisian commune of Trappes.
- 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_69e245b9c11481909d06c872214d21af |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1867b800881909fabf9dca994c9e7 |
completed | April 29, 2026, 4:18 a.m. |
Created at: April 17, 2026, 3:54 p.m.