Triple
T4226628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sergo Zakariadze |
E94474
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Zakariadze |
E94474
|
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: Zakariadze | Statement: [Sergo Zakariadze, familyName, Zakariadze]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zakariadze Context triple: [Sergo Zakariadze, familyName, Zakariadze]
-
A.
Arsukidze
Arsukidze was a medieval Georgian architect renowned as the master builder of the Svetitskhoveli Cathedral in Mtskheta.
-
B.
Robakidze
Robakidze is a Georgian surname most notably borne by the writer and public figure Grigol Robakidze.
-
C.
Sergo Zakariadze
chosen
Sergo Zakariadze was a prominent Georgian Soviet actor, best known for his acclaimed film and theater performances and honored as a People’s Artist of the USSR.
-
D.
Galaktion Tabidze
Galaktion Tabidze was a prominent 20th-century Georgian poet, celebrated for his innovative lyricism and major influence on modern Georgian literature.
-
E.
Javakhishvili
Javakhishvili is a Georgian surname most notably associated with prominent figures such as writer Mikheil Javakhishvili.
- 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_69b3453700a08190ae88792e3dc63207 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e4ed34c819081d1479ce87cd78c |
completed | March 12, 2026, 11:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b63725b9348190af56a6b7477de03f |
completed | March 15, 2026, 4:35 a.m. |
Created at: March 12, 2026, 11:04 p.m.