Triple

T6114950
Position Surface form Disambiguated ID Type / Status
Subject Hiromi Uehara E136336 entity
Predicate familyName P18 FINISHED
Object Uehara
Uehara is a Japanese surname most notably associated with acclaimed jazz pianist and composer Hiromi Uehara.
 E582210 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: Uehara | Statement: [Hiromi Uehara, familyName, Uehara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Uehara
Context triple: [Hiromi Uehara, familyName, Uehara]
  • A. Fukuhara
    Fukuhara was a historical port district in present-day Kobe, Japan, that briefly served as the seat of the imperial court and political center during the late Heian period.
  • B. Takaishi
    Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka metropolitan area.
  • C. Matsuda
    Matsuda is a small town in Kanagawa Prefecture, Japan, known for its scenic views of Mount Fuji and seasonal flower festivals.
  • D. Wakatsuki
    Wakatsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk during late-war Pacific naval operations.
  • E. Sugimoto
    Sugimoto is a Japanese surname borne by various notable individuals across fields such as art, sports, and academia.
  • 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: Uehara
Triple: [Hiromi Uehara, familyName, Uehara]
Generated description
Uehara is a Japanese surname most notably associated with acclaimed jazz pianist and composer Hiromi Uehara.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Uehara
Target entity description: Uehara is a Japanese surname most notably associated with acclaimed jazz pianist and composer Hiromi Uehara.
  • A. Fukuhara
    Fukuhara was a historical port district in present-day Kobe, Japan, that briefly served as the seat of the imperial court and political center during the late Heian period.
  • B. Takaishi
    Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka metropolitan area.
  • C. Matsuda
    Matsuda is a small town in Kanagawa Prefecture, Japan, known for its scenic views of Mount Fuji and seasonal flower festivals.
  • D. Wakatsuki
    Wakatsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk during late-war Pacific naval operations.
  • E. Sugimoto
    Sugimoto is a Japanese surname borne by various notable individuals across fields such as art, sports, and academia.
  • 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_69c0089ea6f88190b349be53e04b4f5f completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05bc0bee08190ab93eae34ea8cdde completed March 22, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c518df074481909d3990c92c11c05a completed March 26, 2026, 11:30 a.m.
NEDg Description generation batch_69c51d44f6888190bb395d40090d5b25 completed March 26, 2026, 11:49 a.m.
NED2 Entity disambiguation (via description) batch_69c51dc68bfc81909c01f8cb85b49ea1 completed March 26, 2026, 11:51 a.m.
Created at: March 22, 2026, 4:14 p.m.