Triple

T2464765
Position Surface form Disambiguated ID Type / Status
Subject Matsui Iwane E55219 entity
Predicate givenName P17 FINISHED
Object Iwane
Iwane is a Japanese given name most notably borne by Matsui Iwane, a general of the Imperial Japanese Army during the early 20th century.
 E366662 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: Iwane | Statement: [Matsui Iwane, givenName, Iwane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Iwane
Context triple: [Matsui Iwane, givenName, Iwane]
  • A. Yasu
    Yasu is a Japanese city located in Shiga Prefecture, known for its blend of residential areas, local industry, and proximity to Lake Biwa.
  • B. Takaishi
    Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka metropolitan area.
  • C. Yukio
    Yukio is a Japanese given name commonly used for males and borne by several notable figures in politics, arts, and entertainment.
  • D. Nezu
    Nezu is a traditional neighborhood in Tokyo known for its historic Nezu Shrine, old-town atmosphere, and preserved shitamachi streets.
  • E. Masatake
    Masatake is a Japanese masculine given name that has been borne by various notable figures, including military and political leaders.
  • 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: Iwane
Triple: [Matsui Iwane, givenName, Iwane]
Generated description
Iwane is a Japanese given name most notably borne by Matsui Iwane, a general of the Imperial Japanese Army during the early 20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Iwane
Target entity description: Iwane is a Japanese given name most notably borne by Matsui Iwane, a general of the Imperial Japanese Army during the early 20th century.
  • A. Yasu
    Yasu is a Japanese city located in Shiga Prefecture, known for its blend of residential areas, local industry, and proximity to Lake Biwa.
  • B. Takaishi
    Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka metropolitan area.
  • C. Yukio
    Yukio is a Japanese given name commonly used for males and borne by several notable figures in politics, arts, and entertainment.
  • D. Nezu
    Nezu is a traditional neighborhood in Tokyo known for its historic Nezu Shrine, old-town atmosphere, and preserved shitamachi streets.
  • E. Masatake
    Masatake is a Japanese masculine given name that has been borne by various notable figures, including military and political leaders.
  • 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_69ab49e3622c8190ad22afa2c4fbb807 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd1216f44819094c46ae7c2c1e394 completed March 7, 2026, 7:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69b38ba25b48819095d21bf9d2276042 completed March 13, 2026, 3:59 a.m.
NEDg Description generation batch_69b38c209d8c8190b644c8861d8874e3 completed March 13, 2026, 4:01 a.m.
NED2 Entity disambiguation (via description) batch_69b38c939c948190a137d79030d9c8d1 completed March 13, 2026, 4:03 a.m.
Created at: March 6, 2026, 9:44 p.m.