Triple

T20133211
Position Surface form Disambiguated ID Type / Status
Subject Prince Teruhiko Higashikuni E490951 entity
Predicate hasGivenName P17 FINISHED
Object Teruhiko
Teruhiko is the given name of Prince Teruhiko Higashikuni, a member of the former Japanese imperial family.
E1484229 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: Teruhiko | Statement: [Prince Teruhiko Higashikuni, hasGivenName, Teruhiko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Teruhiko
Context triple: [Prince Teruhiko Higashikuni, hasGivenName, Teruhiko]
  • A. Shinnosuke
    Shinnosuke is a character from the Pokémon anime series, known as a young boy appearing in the episode "The Heartbreak of Brock."
  • B. Shintaro
    Shintaro is a Japanese given name commonly used for males and borne by various notable figures in sports, entertainment, and politics.
  • C. Toshimichi
    Toshimichi is a Japanese given name most famously borne by Ōkubo Toshimichi, a key statesman and leader of the Meiji Restoration.
  • D. Takahito
    Takahito, better known by his title Prince Mikasa, was a member of the Japanese imperial family and the youngest son of Emperor Taishō.
  • E. Kenjirō
    Kenjirō is a Japanese masculine given name that can be written with various kanji combinations and is borne by multiple notable individuals in fields such as sports, arts, and entertainment.
  • 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: Teruhiko
Triple: [Prince Teruhiko Higashikuni, hasGivenName, Teruhiko]
Generated description
Teruhiko is the given name of Prince Teruhiko Higashikuni, a member of the former Japanese imperial family.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Teruhiko
Target entity description: Teruhiko is the given name of Prince Teruhiko Higashikuni, a member of the former Japanese imperial family.
  • A. Shinnosuke
    Shinnosuke is a character from the Pokémon anime series, known as a young boy appearing in the episode "The Heartbreak of Brock."
  • B. Shintaro
    Shintaro is a Japanese given name commonly used for males and borne by various notable figures in sports, entertainment, and politics.
  • C. Toshimichi
    Toshimichi is a Japanese given name most famously borne by Ōkubo Toshimichi, a key statesman and leader of the Meiji Restoration.
  • D. Takahito
    Takahito, better known by his title Prince Mikasa, was a member of the Japanese imperial family and the youngest son of Emperor Taishō.
  • E. Kenjirō
    Kenjirō is a Japanese masculine given name that can be written with various kanji combinations and is borne by multiple notable individuals in fields such as sports, arts, and entertainment.
  • 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_69da62651a0c8190a3e05e95e056a66b completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e66763ee908190af64af31b4ca2377 completed April 20, 2026, 5:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a09c289750081908188a60ea7a0062f completed May 17, 2026, 1:28 p.m.
NEDg Description generation batch_6a09c2fba3348190a4d8317c6bf45687 completed May 17, 2026, 1:30 p.m.
NED2 Entity disambiguation (via description) batch_6a09c383e0148190a54480a52c9bd34f completed May 17, 2026, 1:32 p.m.
Created at: April 11, 2026, 11:32 p.m.