Triple
T15795587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ეკატერინე გაბაშვილი |
E382968
|
entity |
| Predicate | როლები |
P120050
|
FINISHED |
| Object | მწერალი |
—
|
LITERAL 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: მწერალი | Statement: [ეკატერინე გაბაშვილი, როლები, მწერალი]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: როლები Context triple: [ეკატერინე გაბაშვილი, როლები, მწერალი]
-
A.
playsInRole
Indicates that an entity performs or appears in a specific role within a production, event, or context.
-
B.
cultRole
Indicates that an entity holds a specific role, position, or function within a cult or cult-like group.
-
C.
theaterRole
Indicates that an entity holds or performs a specific role or character in a theatrical production in relation to another entity (such as a play or performance).
-
D.
producedRole
Indicates that one entity was responsible for creating, originating, or bringing about a particular role associated with another entity.
-
E.
genreRole
Indicates a relationship where an entity holds a specific functional or categorical role within a particular genre.
- F. None of above. chosen
Provenance (4 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_69d86da16e188190b89af699f1ed0bfe |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4dc887081909d682ae153f06d97 |
completed | April 16, 2026, 10:07 a.m. |
| PD | Predicate disambiguation | batch_69e00537bd1c81908d6e832792fd934f |
completed | April 15, 2026, 9:37 p.m. |
| PDg | Predicate description generation | batch_69e006b17f7881908b8c7a37f0af4581 |
completed | April 15, 2026, 9:44 p.m. |
Created at: April 10, 2026, 4:48 a.m.