Triple
T17893376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kapudan Pasha |
E447373
|
entity |
| Predicate | officeHolderExample |
P69539
|
FINISHED |
| Object | Hüseyin Pasha |
—
|
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: Hüseyin Pasha | Statement: [Kapudan Pasha, officeHolderExample, Hüseyin Pasha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hüseyin Pasha Context triple: [Kapudan Pasha, officeHolderExample, Hüseyin Pasha]
-
A.
Hüseyin Pasha
chosen
Hüseyin Pasha was a prominent Ottoman admiral and statesman who held high naval command and played a key role in the empire’s maritime affairs.
-
B.
Haydar Pasha
Haydar Pasha was an influential Ottoman-era figure after whom Istanbul’s historic Haydarpaşa Railway Station was named.
-
C.
Vehip Pasha
Vehip Pasha was an Ottoman general best known for commanding major forces, including during the Gallipoli campaign in World War I.
-
D.
Rauf Pasha
Rauf Pasha was a prominent 19th-century Ottoman-Egyptian official who played a key administrative role in governing Sudan under Turco-Egyptian rule.
-
E.
Talat Pasha
Talat Pasha was a leading Young Turk statesman of the late Ottoman Empire, best known as one of its last de facto rulers and a principal architect of the Armenian Genocide.
- 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_69d8b9f59bd48190a6fc925a855b8bac |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49d7b57bc8190995e40134215cdfd |
completed | April 19, 2026, 9:16 a.m. |
Created at: April 10, 2026, 10:19 a.m.