Triple
T13027218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georgiana |
E326337
|
entity |
| Predicate | isRelatedName |
P3889
|
FINISHED |
| Object | Jorgos |
E462900
|
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: Jorgos | Statement: [Georgiana, isRelatedName, Jorgos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jorgos Context triple: [Georgiana, isRelatedName, Jorgos]
-
A.
Yorgi
Yorgi is the main Russian crime lord and antagonist in the action film "xXx," portrayed by actor Marton Csokas.
-
B.
Yorgos
chosen
Yorgos is a common Greek given name, typically used as a familiar or diminutive form of Georgios.
-
C.
Gerolimenas
Gerolimenas is a small, picturesque coastal village in the southern Mani region of the Peloponnese in Greece, known for its traditional stone architecture and scenic harbor.
-
D.
Rousopoulos
Rousopoulos is a Greek surname most notably associated with Theodoros Rousopoulos, a prominent Greek politician and former government spokesman.
-
E.
Bakoyannis
Bakoyannis is a prominent Greek political family name most notably associated with Dora Bakoyannis, a leading Greek politician and former foreign minister.
- 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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97efc07488190a15f3e41ea2db45c |
completed | April 10, 2026, 10:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c11f83d88190bc153dba75db0995 |
completed | May 3, 2026, 3:29 a.m. |
Created at: April 9, 2026, 8:53 p.m.