Triple

T8977856
Position Surface form Disambiguated ID Type / Status
Subject Homma E214440 entity
Predicate hasVariant P455 FINISHED
Object Honma
Honma is a Japanese surname and romanized name variant commonly borne by individuals and families in Japan.
 E769776 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: Honma | Statement: [Homma, hasVariant, Honma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Honma
Context triple: [Homma, hasVariant, Honma]
  • A. Hara Sankei
    Hara Sankei was a Japanese businessman and art patron best known for creating and developing the historic Sankeien Garden in Yokohama.
  • B. Munetaka
    Munetaka is a Japanese professional baseball slugger best known for his record-setting home run power in Nippon Professional Baseball.
  • C. Hokuzan
    Hokuzan was a medieval kingdom in northern Okinawa that existed before the unification of the Ryukyu Islands under the Ryukyu Kingdom.
  • D. Hiranuma
    Hiranuma is a notable district within Nishi Ward in Yokohama, Japan, known as part of the city’s central urban area.
  • E. Rokkō Airando
    Rokkō Airando is a man-made island in Kobe, Japan, known for its residential areas, commercial facilities, and port-related infrastructure.
  • 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: Honma
Triple: [Homma, hasVariant, Honma]
Generated description
Honma is a Japanese surname and romanized name variant commonly borne by individuals and families in Japan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Honma
Target entity description: Honma is a Japanese surname and romanized name variant commonly borne by individuals and families in Japan.
  • A. Hara Sankei
    Hara Sankei was a Japanese businessman and art patron best known for creating and developing the historic Sankeien Garden in Yokohama.
  • B. Munetaka
    Munetaka is a Japanese professional baseball slugger best known for his record-setting home run power in Nippon Professional Baseball.
  • C. Hokuzan
    Hokuzan was a medieval kingdom in northern Okinawa that existed before the unification of the Ryukyu Islands under the Ryukyu Kingdom.
  • D. Hiranuma
    Hiranuma is a notable district within Nishi Ward in Yokohama, Japan, known as part of the city’s central urban area.
  • E. Rokkō Airando
    Rokkō Airando is a man-made island in Kobe, Japan, known for its residential areas, commercial facilities, and port-related infrastructure.
  • 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_69ca839ea8b88190922c6a326ffcc0d3 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc67a33c8481909125acf4b7f0a919 completed April 1, 2026, 12:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc96e7eb48190a3df410b1544b997 completed April 3, 2026, 2:06 p.m.
NEDg Description generation batch_69cfca6202a4819090404b7893a31ba7 completed April 3, 2026, 2:10 p.m.
NED2 Entity disambiguation (via description) batch_69cfcaeaf24c81908daadfe954413778 completed April 3, 2026, 2:12 p.m.
Created at: March 30, 2026, 7:02 p.m.