Triple
T18496413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wael Ghonim |
E451959
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Wael Ghonim |
—
|
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: Wael Ghonim | Statement: [Wael Ghonim, name, Wael Ghonim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wael Ghonim Context triple: [Wael Ghonim, name, Wael Ghonim]
-
A.
Wael Ghonim
chosen
Wael Ghonim is an Egyptian internet activist and former Google executive who became widely known for his influential online role in mobilizing and organizing protests during Egypt’s 2011 revolution.
-
B.
Raif Badawi
Raif Badawi is a Saudi writer and activist known for founding the "Free Saudi Liberals" website and for his imprisonment and flogging on charges related to his advocacy for free expression.
-
C.
Fares Fares
Fares Fares is a Swedish-Lebanese actor known for his roles in Scandinavian crime films and international productions such as the "Department Q" series and the TV show "Westworld."
-
D.
Samir Amer
Samir Amer is a notable individual recognized for bearing the surname Amer.
-
E.
Omar Metwally
Omar Metwally is an American actor known for his work in film, television, and theater, including prominent roles in projects like "Munich," "Rendition," and various acclaimed TV dramas.
- 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_69d8d3855d50819097fc8561b0299dd9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e532c09a8081909cf0b44df3682bb8 |
completed | April 19, 2026, 7:53 p.m. |
Created at: April 10, 2026, 11:35 a.m.