Triple
T3907394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Merab Kostava |
E87234
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Merab |
E87234
|
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: Merab | Statement: [Merab Kostava, givenName, Merab]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Merab Context triple: [Merab Kostava, givenName, Merab]
-
A.
Merab
Merab is a figure in the Hebrew Bible known as one of King Saul’s daughters in the early monarchy of ancient Israel.
-
B.
Merab Kostava
chosen
Merab Kostava was a prominent Georgian dissident, musician, and national independence activist who became a symbol of resistance to Soviet rule.
-
C.
Alexander Khatisian
Alexander Khatisian was an Armenian statesman and political leader who served as a prominent prime minister of the short-lived First Republic of Armenia in the early 20th century.
-
D.
Aluda Ketelauri
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.
-
E.
Ketevan
Ketevan is a Georgian female given name, often associated with historical and cultural figures from Georgia.
- 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_69aed9424514819086e9c58adde6652d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeed1290e48190aaf2d8b2a7be707a |
completed | March 9, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b51caf41c881909c5156480b46e794 |
completed | March 14, 2026, 8:30 a.m. |
Created at: March 9, 2026, 3:22 p.m.