Triple
T12737893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mustapha |
E304410
|
entity |
| Predicate | hasAlternativeTransliteration |
P5923
|
FINISHED |
| Object | Mostafa |
E311736
|
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: Mostafa | Statement: [Mustapha, hasAlternativeTransliteration, Mostafa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mostafa Context triple: [Mustapha, hasAlternativeTransliteration, Mostafa]
-
A.
Mostafa adl
Mostafa Adl was an Iranian statesman who served as Prime Minister and played a significant role in the country’s political leadership.
-
B.
Moustafà
chosen
Moustafà is a variant spelling of the given name Mustafa, a common Arabic name meaning "the chosen one."
-
C.
Mahmoud
Mahmoud is a common Arabic male given name widely used across the Middle East and Muslim-majority countries.
-
D.
Mustafa
Mustafa is the given birth name of Mustafa Kemal Atatürk, the founder and first president of the Republic of Turkey.
-
E.
Mustafa
Mustafa is a minor character in Pixar's animated film "Ratatouille," serving as the head waiter at Gusteau’s famed Parisian restaurant.
- 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_69d7bdf1426c8190a4402e1c4cdec33a |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9646cfcac81909283dca987755c0e |
completed | April 10, 2026, 8:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c8ff57c8190a935b5c9f4bb5aa3 |
completed | May 2, 2026, 10:37 p.m. |
Created at: April 9, 2026, 5:26 p.m.