Triple
T11091161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fayez |
E262256
|
entity |
| Predicate | hasVariantTransliteration |
P5923
|
FINISHED |
| Object | Faez |
E904200
|
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: Faez | Statement: [Fayez, hasVariantTransliteration, Faez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Faez Context triple: [Fayez, hasVariantTransliteration, Faez]
-
A.
Fayiz
chosen
Fayiz is a masculine given name of Arabic origin, commonly used as a variant transliteration of the name Fayez.
-
B.
Faiha
Faiha is a residential district in Kuwait City known for its planned layout, community facilities, and central location within the capital.
-
C.
Fahdah
Fahdah is a Saudi princess, formally known as Princess Fahdah Mohammed Abunayyan, associated with the Saudi royal family.
-
D.
Unaizah
Unaizah is a historic oasis city in central Saudi Arabia’s Qassim region, known for its date farms, traditional markets, and cultural heritage.
-
E.
Faizi
Faizi was a renowned 16th-century Persian-language poet and scholar who served as one of the prominent intellectuals in the Mughal emperor Akbar’s court.
- 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_69d6aa9a40d88190a373e2c7e48285db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d799ebae8c8190987b474adb7ede47 |
completed | April 9, 2026, 12:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e441bb14d08190ac01bf3daa34ae43 |
completed | April 19, 2026, 2:45 a.m. |
Created at: April 8, 2026, 9:27 p.m.