Triple
T15795034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Host and the Guest |
E382954
|
entity |
| Predicate | relatedWork |
P37
|
FINISHED |
| Object | Aluda Ketelauri |
E382953
|
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: Aluda Ketelauri | Statement: [The Host and the Guest, relatedWork, Aluda Ketelauri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aluda Ketelauri Context triple: [The Host and the Guest, relatedWork, Aluda Ketelauri]
-
A.
Aluda Ketelauri
chosen
Aluda Ketelauri is a narrative poem by Georgian writer Vazha-Pshavela that explores themes of honor, revenge, and moral transformation in the highland culture of Georgia.
-
B.
Ketevan
Ketevan is a Georgian female given name, often associated with historical and cultural figures from Georgia.
-
C.
Khatia
Khatia is a small gateway village that serves as one of the main entry points to Kanha National Park in central India.
-
D.
Tavaeli Kaili
Tavaeli Kaili is a regional dialect of the Kaili language spoken by communities in Central Sulawesi, Indonesia.
-
E.
Sashiko Svanidze
Sashiko Svanidze is a member of the Svanidze family, a surname of Georgian origin historically associated with notable figures in Georgian and Soviet history.
- 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_69d86da16e188190b89af699f1ed0bfe |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4dc887081909d682ae153f06d97 |
completed | April 16, 2026, 10:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa12f92e48190bc2886f4070cfc70 |
completed | May 9, 2026, 9:03 p.m. |
Created at: April 10, 2026, 4:48 a.m.