Triple

T145167
Position Surface form Disambiguated ID Type / Status
Subject Harukichi Hyakutake E2937 entity
Predicate familyName P18 FINISHED
Object Hyakutake
Hyakutake is a Japanese surname borne by several notable individuals, including military figures and other public personalities.
E20821 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: Hyakutake | Statement: [Harukichi Hyakutake, familyName, Hyakutake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hyakutake
Context triple: [Harukichi Hyakutake, familyName, Hyakutake]
  • A. Mount Akagi
    Mount Akagi is a prominent volcanic mountain in Japan’s Gunma Prefecture, known for its caldera lakes, scenic hiking trails, and cultural significance in local folklore.
  • B. Matsubara
    Matsubara is a suburban city in Japan’s Kansai region, located within Osaka Prefecture and forming part of the Osaka metropolitan area.
  • C. Takatsuki
    Takatsuki is a city in northern Osaka Prefecture, Japan, known as a residential and commercial hub between Osaka and Kyoto.
  • D. Izumi
    Izumi is a city located in Osaka Prefecture, Japan, known as a residential and commercial hub in the Kansai region.
  • E. Orawa
    Orawa is a historical and ethnographic region in southern Poland known for its distinctive highland culture, folklore, and traditional wooden architecture.
  • 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: Hyakutake
Triple: [Harukichi Hyakutake, familyName, Hyakutake]
Generated description
Hyakutake is a Japanese surname borne by several notable individuals, including military figures and other public personalities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hyakutake
Target entity description: Hyakutake is a Japanese surname borne by several notable individuals, including military figures and other public personalities.
  • A. Mount Akagi
    Mount Akagi is a prominent volcanic mountain in Japan’s Gunma Prefecture, known for its caldera lakes, scenic hiking trails, and cultural significance in local folklore.
  • B. Matsubara
    Matsubara is a suburban city in Japan’s Kansai region, located within Osaka Prefecture and forming part of the Osaka metropolitan area.
  • C. Takatsuki
    Takatsuki is a city in northern Osaka Prefecture, Japan, known as a residential and commercial hub between Osaka and Kyoto.
  • D. Izumi
    Izumi is a city located in Osaka Prefecture, Japan, known as a residential and commercial hub in the Kansai region.
  • E. Orawa
    Orawa is a historical and ethnographic region in southern Poland known for its distinctive highland culture, folklore, and traditional wooden architecture.
  • 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_69a2521e35c08190b28e5c9f1e3c9b59 completed Feb. 28, 2026, 2:25 a.m.
NER Named-entity recognition batch_69a257e935bc8190a03e54a10e9ba6f7 completed Feb. 28, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2e0f4eef081908a20426715283e68 completed Feb. 28, 2026, 12:35 p.m.
NEDg Description generation batch_69a2e1981a688190b6bf58eadf82ddd3 completed Feb. 28, 2026, 12:37 p.m.
NED2 Entity disambiguation (via description) batch_69a2e211746c8190807cacec282883f5 completed Feb. 28, 2026, 12:39 p.m.
Created at: Feb. 28, 2026, 2:31 a.m.