Triple
T19148489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yusif Eyvazov |
E468743
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Yusif |
—
|
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: Yusif | Statement: [Yusif Eyvazov, givenName, Yusif]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yusif Context triple: [Yusif Eyvazov, givenName, Yusif]
-
A.
Huseyn
Huseyn is a given name of Arabic origin, commonly used in various Muslim-majority cultures as a variant of the name Hussein.
-
B.
Şefik
Şefik is the given name of the prominent Ottoman statesman and reformer Midhat Pasha, a key architect of the Ottoman constitution of 1876.
-
C.
Yusuf
Yusuf is a revered prophet in Islamic tradition, known for his exemplary patience, prophetic dreams, and the Qur’anic narrative of his trials and rise to power in Egypt.
-
D.
Yusuf
Yusuf is a skilled chemist and dream architect in the film "Inception," responsible for creating the powerful sedatives used in shared dreaming heists.
-
E.
Yusuf
chosen
Yusuf is a common male given name of Arabic origin, widely used in Muslim communities and equivalent to the name Joseph.
- 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_69d8dd084ff48190ac0f8c46ee722629 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e97b48508190b61458821b6475ad |
completed | April 20, 2026, 8:53 a.m. |
Created at: April 10, 2026, 12:06 p.m.