Triple
T18246977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zaki Salam |
E436977
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Zaki Salam |
—
|
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 Salam | Statement: [Zaki Salam, name, Zaki Salam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zaki Salam Context triple: [Zaki Salam, name, Zaki Salam]
-
A.
Zaki Salam
chosen
Zaki Salam is a notable individual recognized as a distinguished bearer of the surname Salam.
-
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.
Nawaf Salam
Nawaf Salam is a Lebanese diplomat, jurist, and former UN ambassador who serves as President of the International Court of Justice.
-
D.
Nabil Shaath
Nabil Shaath is a prominent Palestinian politician and diplomat who has held senior roles in the Palestinian Authority, including as foreign minister and negotiator in peace talks with Israel.
-
E.
Salim Alwan
Salim Alwan is a wealthy, middle-aged businessman in Naguib Mahfouz’s novel "Midaq Alley," whose prosperity and romantic entanglements highlight the social and moral tensions of the alley’s community.
- 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_69d8b91104e08190a8241f7d260a5162 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4f7e7d49c8190b227a13b63615754 |
completed | April 19, 2026, 3:42 p.m. |
Created at: April 10, 2026, 10:33 a.m.