Triple
T22021164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Wall |
E543849
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Laith Nakli |
—
|
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: Laith Nakli | Statement: [The Wall, starring, Laith Nakli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laith Nakli Context triple: [The Wall, starring, Laith Nakli]
-
A.
Laith Nakli
chosen
Laith Nakli is a Syrian-American actor known for his role as Uncle Naseem in the acclaimed television series "Ramy."
-
B.
Nabil
Nabil is a common Arabic given name meaning "noble" or "honorable," used across many Arabic-speaking and Muslim-majority cultures.
-
C.
Amer Wagdi
Amer Wagdi is a central character in Naguib Mahfouz’s novel "Miramar," representing the older generation’s memories and perspectives amid Egypt’s social and political change.
-
D.
Saleem Takla
Saleem Takla was a 19th-century Lebanese journalist and publisher best known for co-founding the influential Egyptian newspaper Al-Ahram.
-
E.
Wael
Wael is an Arabic male given name commonly used in the Middle East and among Arabic-speaking communities worldwide.
- 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_69e11e2e8ea4819084210fe06d3a1b8d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127c7b3308190ac056bef6f82722e |
completed | April 28, 2026, 9:33 p.m. |
Created at: April 16, 2026, 8:23 p.m.