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.