Triple

T17469698
Position Surface form Disambiguated ID Type / Status
Subject Shun Oguri E425373 entity
Predicate familyName P18 FINISHED
Object Oguri
Oguri is a Japanese surname most notably borne by acclaimed actor and director Shun Oguri.
 E1574373 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: Oguri | Statement: [Shun Oguri, familyName, Oguri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Oguri
Context triple: [Shun Oguri, familyName, Oguri]
  • A. Otsuki
    Otsuki is a city in Yamanashi Prefecture, Japan, known for its mountainous terrain and role as a regional transportation hub.
  • B. Uenohara
    Uenohara is a city in Yamanashi Prefecture, Japan, known for its mountainous terrain and role as a regional transport and residential hub near the Tokyo metropolitan area.
  • C. Takizawa
    Takizawa is a city in northeastern Japan known for its rural landscapes and proximity to the regional center of Morioka in Iwate Prefecture.
  • D. Ishibashi
    Ishibashi is a Japanese surname associated with various notable families and individuals in Japan.
  • E. Izutsu
    Izutsu is a classical Noh play, traditionally attributed to Zeami Motokiyo, that poignantly depicts love, memory, and longing through the story of a woman haunted by her past.
  • 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: Oguri
Triple: [Shun Oguri, familyName, Oguri]
Generated description
Oguri is a Japanese surname most notably borne by acclaimed actor and director Shun Oguri.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Oguri
Target entity description: Oguri is a Japanese surname most notably borne by acclaimed actor and director Shun Oguri.
  • A. Otsuki
    Otsuki is a city in Yamanashi Prefecture, Japan, known for its mountainous terrain and role as a regional transportation hub.
  • B. Uenohara
    Uenohara is a city in Yamanashi Prefecture, Japan, known for its mountainous terrain and role as a regional transport and residential hub near the Tokyo metropolitan area.
  • C. Takizawa
    Takizawa is a city in northeastern Japan known for its rural landscapes and proximity to the regional center of Morioka in Iwate Prefecture.
  • D. Ishibashi
    Ishibashi is a Japanese surname associated with various notable families and individuals in Japan.
  • E. Izutsu
    Izutsu is a classical Noh play, traditionally attributed to Zeami Motokiyo, that poignantly depicts love, memory, and longing through the story of a woman haunted by her past.
  • 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_69d889dbc2e88190b18ea6115e819258 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451aad4a08190be7e25841da8e952 completed April 19, 2026, 3:53 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c3067ee84819095187ea47376c1b2 completed May 19, 2026, 9:42 a.m.
NEDg Description generation batch_6a0c317030c481908991f978ca15085e completed May 19, 2026, 9:46 a.m.
NED2 Entity disambiguation (via description) batch_6a0c322595308190b33c9e09fb26c2cc completed May 19, 2026, 9:49 a.m.
Created at: April 10, 2026, 5:47 a.m.