Triple

T19754022
Position Surface form Disambiguated ID Type / Status
Subject Ruth Ozeki E474457 entity
Predicate familyName P18 FINISHED
Object Ozeki
Ozeki is a Japanese surname borne by various individuals, including the acclaimed novelist and filmmaker Ruth Ozeki.
 E1394703 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: Ozeki | Statement: [Ruth Ozeki, familyName, Ozeki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ozeki
Context triple: [Ruth Ozeki, familyName, Ozeki]
  • A. Telefomin
    Telefomin is a remote highland town in Papua New Guinea known for its rugged terrain, traditional cultures, and limited accessibility.
  • B. Telefon Bay
    Telefon Bay is a small volcanic bay on Deception Island in Antarctica, known for its stark polar landscape and evidence of past eruptions.
  • C. Asterisk
    Asterisk is an open-source software implementation of a telephone private branch exchange (PBX) that enables VoIP and traditional telephony services.
  • D. Nokki
    Nokki is one of the four snow owl mascots created to represent the 1998 Winter Olympics held in Nagano, Japan.
  • E. Nokki
    Nokki is likely a lesser-known entity, possibly a business, brand, or local initiative connected to the Lekki area of Lagos, Nigeria.
  • 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: Ozeki
Triple: [Ruth Ozeki, familyName, Ozeki]
Generated description
Ozeki is a Japanese surname borne by various individuals, including the acclaimed novelist and filmmaker Ruth Ozeki.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ozeki
Target entity description: Ozeki is a Japanese surname borne by various individuals, including the acclaimed novelist and filmmaker Ruth Ozeki.
  • A. Telefomin
    Telefomin is a remote highland town in Papua New Guinea known for its rugged terrain, traditional cultures, and limited accessibility.
  • B. Telefon Bay
    Telefon Bay is a small volcanic bay on Deception Island in Antarctica, known for its stark polar landscape and evidence of past eruptions.
  • C. Asterisk
    Asterisk is an open-source software implementation of a telephone private branch exchange (PBX) that enables VoIP and traditional telephony services.
  • D. Nokki
    Nokki is likely a lesser-known entity, possibly a business, brand, or local initiative connected to the Lekki area of Lagos, Nigeria.
  • E. Nokki
    Nokki is one of the four snow owl mascots created to represent the 1998 Winter Olympics held in Nagano, Japan.
  • 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_69d8e51940a0819087bd2996f98da668 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6529cae048190b4f8e6ba409bcf8e completed April 20, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07bd67064081908839a408b0e746e1 completed May 16, 2026, 12:42 a.m.
NEDg Description generation batch_6a07bde28e848190aaa9c4a06b31bdb6 completed May 16, 2026, 12:44 a.m.
NED2 Entity disambiguation (via description) batch_6a07bed4c8d8819094fafce7eee69ee7 completed May 16, 2026, 12:48 a.m.
Created at: April 10, 2026, 1:48 p.m.