Triple

T111439
Position Surface form Disambiguated ID Type / Status
Subject Mako Mori E2255 entity
Predicate familyName P18 FINISHED
Object Mori
Mori is a Japanese surname shared by various notable individuals across fields such as entertainment, sports, and politics.
E18131 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: Mori | Statement: [Mako Mori, familyName, Mori]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mori
Context triple: [Mako Mori, familyName, Mori]
  • A. Matsubara
    Matsubara is a suburban city in Japan’s Kansai region, located within Osaka Prefecture and forming part of the Osaka metropolitan area.
  • B. Yamamoto
    Yamamoto is a Japanese surname most famously associated with Admiral Isoroku Yamamoto, the commander-in-chief of the Imperial Japanese Navy during World War II.
  • C. Takatsuki
    Takatsuki is a city in northern Osaka Prefecture, Japan, known as a residential and commercial hub between Osaka and Kyoto.
  • D. Hirakata
    Hirakata is a city in Japan located between Osaka and Kyoto, known for its residential suburbs, historical sites, and the popular Hirakata Park amusement park.
  • E. Nisshoki
    Nisshoki, more commonly known as the Hinomaru, is the national flag of Japan featuring a red sun disc centered on a white field.
  • 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: Mori
Triple: [Mako Mori, familyName, Mori]
Generated description
Mori is a Japanese surname shared by various notable individuals across fields such as entertainment, sports, and politics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mori
Target entity description: Mori is a Japanese surname shared by various notable individuals across fields such as entertainment, sports, and politics.
  • A. Matsubara
    Matsubara is a suburban city in Japan’s Kansai region, located within Osaka Prefecture and forming part of the Osaka metropolitan area.
  • B. Yamamoto
    Yamamoto is a Japanese surname most famously associated with Admiral Isoroku Yamamoto, the commander-in-chief of the Imperial Japanese Navy during World War II.
  • C. Takatsuki
    Takatsuki is a city in northern Osaka Prefecture, Japan, known as a residential and commercial hub between Osaka and Kyoto.
  • D. Hirakata
    Hirakata is a city in Japan located between Osaka and Kyoto, known for its residential suburbs, historical sites, and the popular Hirakata Park amusement park.
  • E. Nisshoki
    Nisshoki, more commonly known as the Hinomaru, is the national flag of Japan featuring a red sun disc centered on a white field.
  • 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_69a24fcdaeb48190a2d796677e4b3281 completed Feb. 28, 2026, 2:15 a.m.
NER Named-entity recognition batch_69a256ec650c8190bee2067e37065527 completed Feb. 28, 2026, 2:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2c52b004c8190a74c495d3213973d completed Feb. 28, 2026, 10:36 a.m.
NEDg Description generation batch_69a2c64913888190a09afdf3c8f3ab46 completed Feb. 28, 2026, 10:41 a.m.
NED2 Entity disambiguation (via description) batch_69a2c717e9b88190a44b26128970a286 completed Feb. 28, 2026, 10:44 a.m.
Created at: Feb. 28, 2026, 2:20 a.m.