Triple

T16695820
Position Surface form Disambiguated ID Type / Status
Subject Fujiwara no Kaneie E405712 entity
Predicate givenName P17 FINISHED
Object Kaneie
Kaneie is a Japanese given name most notably borne by Fujiwara no Kaneie, a powerful statesman of the Heian period.
 E1229876 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: Kaneie | Statement: [Fujiwara no Kaneie, givenName, Kaneie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kaneie
Context triple: [Fujiwara no Kaneie, givenName, Kaneie]
  • A. Kanie
    Kanie is a small town in central Japan known for its residential communities and proximity to the city of Nagoya in Aichi Prefecture.
  • B. Kāne
    Kāne is a principal Hawaiian god associated with creation, life, freshwater, and the sun in Native Hawaiian religion.
  • C. Kameari
    Kameari is a neighborhood in Tokyo best known as the long-running setting of the manga and anime series "Kochira Katsushika-ku Kameari Kōen-mae Hashutsujo" ("Kochikame").
  • D. Kaniaga
    Kaniaga was the principal city and political center of the medieval West African Sosso state.
  • E. Namatanai
    Namatanai is a coastal town on the island of New Ireland in Papua New Guinea, serving as a local administrative and commercial center.
  • 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: Kaneie
Triple: [Fujiwara no Kaneie, givenName, Kaneie]
Generated description
Kaneie is a Japanese given name most notably borne by Fujiwara no Kaneie, a powerful statesman of the Heian period.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kaneie
Target entity description: Kaneie is a Japanese given name most notably borne by Fujiwara no Kaneie, a powerful statesman of the Heian period.
  • A. Kanie
    Kanie is a small town in central Japan known for its residential communities and proximity to the city of Nagoya in Aichi Prefecture.
  • B. Kāne
    Kāne is a principal Hawaiian god associated with creation, life, freshwater, and the sun in Native Hawaiian religion.
  • C. Kameari
    Kameari is a neighborhood in Tokyo best known as the long-running setting of the manga and anime series "Kochira Katsushika-ku Kameari Kōen-mae Hashutsujo" ("Kochikame").
  • D. Kaniaga
    Kaniaga was the principal city and political center of the medieval West African Sosso state.
  • E. Namatanai
    Namatanai is a coastal town on the island of New Ireland in Papua New Guinea, serving as a local administrative and commercial center.
  • 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37eadc35881909fb0cc405a0e2fae completed April 18, 2026, 12:53 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00919d02088190acecb1a62a100255 completed May 10, 2026, 2:09 p.m.
NEDg Description generation batch_6a009a013ccc81908becd542b2f12e8f completed May 10, 2026, 2:45 p.m.
NED2 Entity disambiguation (via description) batch_6a009abdf55081908976fa9f9752a447 completed May 10, 2026, 2:48 p.m.
Created at: April 10, 2026, 5:19 a.m.