Triple
T21639519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ahmeti |
E534052
|
entity |
| Predicate | sharesRootWith |
P3438
|
FINISHED |
| Object | Ahmetaj |
—
|
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: Ahmetaj | Statement: [Ahmeti, sharesRootWith, Ahmetaj]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ahmetaj Context triple: [Ahmeti, sharesRootWith, Ahmetaj]
-
A.
Ahmeti
chosen
Ahmeti is a surname and given name commonly found in Albanian and other Balkan cultures, derived from the name Ahmet.
-
B.
Ismet
Ismet is a given name used in various cultures, notably Turkish and Bosnian, typically borne by men and sometimes women.
-
C.
Bajram Begaj
Bajram Begaj is an Albanian politician and former military officer who serves as the President of Albania.
-
D.
Enver Gjokaj
Enver Gjokaj is an American actor best known for his roles in Joss Whedon’s series "Dollhouse" and the Marvel television franchise, including "Agent Carter."
-
E.
Bujar Nishani
Bujar Nishani was an Albanian politician who served as the country's president from 2012 to 2017.
- 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_69e0c465ae7481908577b7209fdb2a77 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef5390ba7481908f58230779e5b7bb |
completed | April 27, 2026, 12:16 p.m. |
Created at: April 16, 2026, 6:35 p.m.