Triple
T3000389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akaki Tsereteli |
E81171
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Akaki
Akaki is a Georgian masculine given name most notably borne by the prominent 19th-century poet and national figure Akaki Tsereteli.
|
E321779
|
NE FINISHED |
How this triple was built (4 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: Akaki | Statement: [Akaki Tsereteli, givenName, Akaki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Akaki Context triple: [Akaki Tsereteli, givenName, Akaki]
-
A.
Aka-Bo
Aka-Bo is an extinct Great Andamanese language once spoken by the Bo people of the Andaman Islands in India.
-
B.
Akhasheni
Akhasheni is a Georgian red wine appellation from the Kakheti region, known for its naturally semi-sweet wines made primarily from Saperavi grapes.
-
C.
Ako
Ako is a coastal city in southwestern Hyogo Prefecture, Japan, historically known for its salt production and the story of the Forty-seven Ronin.
-
D.
Asake
Asake is a Nigerian singer and songwriter known for his energetic fusion of Afrobeats, amapiano, and street-pop, and for being one of the standout artists on Olamide’s YBNL Nation label.
-
E.
Akrosh
Akrosh is an Indian film best known as a hard-hitting social drama written by acclaimed playwright and screenwriter Vijay Tendulkar.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Akaki Triple: [Akaki Tsereteli, givenName, Akaki]
Generated description
Akaki is a Georgian masculine given name most notably borne by the prominent 19th-century poet and national figure Akaki Tsereteli.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Akaki Target entity description: Akaki is a Georgian masculine given name most notably borne by the prominent 19th-century poet and national figure Akaki Tsereteli.
-
A.
Aka-Bo
Aka-Bo is an extinct Great Andamanese language once spoken by the Bo people of the Andaman Islands in India.
-
B.
Akhasheni
Akhasheni is a Georgian red wine appellation from the Kakheti region, known for its naturally semi-sweet wines made primarily from Saperavi grapes.
-
C.
Ako
Ako is a coastal city in southwestern Hyogo Prefecture, Japan, historically known for its salt production and the story of the Forty-seven Ronin.
-
D.
Asake
Asake is a Nigerian singer and songwriter known for his energetic fusion of Afrobeats, amapiano, and street-pop, and for being one of the standout artists on Olamide’s YBNL Nation label.
-
E.
Akrosh
Akrosh is an Indian film best known as a hard-hitting social drama written by acclaimed playwright and screenwriter Vijay Tendulkar.
- F. None of above. chosen
Provenance (5 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_69ad8b187fc8819085914d3c9ea3142d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a1022e48190afee77db94635ff2 |
completed | March 8, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1dea057a48190a7911d8d6046dd3d |
completed | March 11, 2026, 9:29 p.m. |
| NEDg | Description generation | batch_69b1e6b8848481908871662d94f866c1 |
completed | March 11, 2026, 10:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1e6fee8148190b9f241aa52198432 |
completed | March 11, 2026, 10:04 p.m. |
Created at: March 8, 2026, 2:59 p.m.