Triple
T2833621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mustafa |
E62297
|
entity |
| Predicate | alternativeTransliteration |
P5923
|
FINISHED |
| Object | Moustafa |
E240286
|
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: Moustafa | Statement: [Mustafa, alternativeTransliteration, Moustafa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moustafa Context triple: [Mustafa, alternativeTransliteration, Moustafa]
-
A.
Mahmoud
Mahmoud is a common Arabic male given name widely used across the Middle East and Muslim-majority countries.
-
B.
Nabil
Nabil is a common Arabic given name meaning "noble" or "honorable," used across many Arabic-speaking and Muslim-majority cultures.
-
C.
Khaled
Khaled is the given name of DJ Khaled, the American record producer, DJ, and media personality known for his hit collaborations and catchphrases.
-
D.
Zero Moustafa
chosen
Zero Moustafa is the loyal lobby boy-turned-owner of the Grand Budapest Hotel and the central narrator of Wes Anderson’s film "The Grand Budapest Hotel."
-
E.
Sallah
Sallah is a jovial, resourceful Egyptian excavator and close ally of Indiana Jones who helps him navigate dangerous archaeological adventures.
- 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_69ab4c3c39188190955b9c49d98463d8 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdec036dc8190bc2d974f6d82eda9 |
completed | March 7, 2026, 8:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b01d71c214819086422d2b16b1f49d |
completed | March 10, 2026, 1:32 p.m. |
Created at: March 6, 2026, 10:01 p.m.