Triple
T12737924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mustofa |
E304411
|
entity |
| Predicate | transliterationVariant |
P5923
|
FINISHED |
| Object | Mustapha |
E304410
|
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: Mustapha | Statement: [Mustofa, transliterationVariant, Mustapha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mustapha Context triple: [Mustofa, transliterationVariant, Mustapha]
-
A.
Mustapha
chosen
Mustapha is a variant transliteration of the Arabic given name Mustafa, commonly used in various languages and cultures.
-
B.
Mostapha
Mostapha is a masculine given name, commonly used in Arabic-speaking and Muslim-majority cultures, that is a variant spelling of Mustafa.
-
C.
Tajudeen
Tajudeen is a Nigerian politician and academic who serves as the Speaker of the House of Representatives of Nigeria.
-
D.
Hassan
Hassan is a person known primarily as the sibling of Murad Mirza.
-
E.
Hassan
Hassan is a loyal and selfless Hazara boy whose friendship with Amir and the injustices he endures form the emotional core of the film "The Kite Runner."
- 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_69f69b8c84308190b57d3b5b04bb4a78 |
completed | May 3, 2026, 12:49 a.m. |
Created at: April 9, 2026, 5:26 p.m.