Triple

T947713
Position Surface form Disambiguated ID Type / Status
Subject Princess Atsuko E20450 entity
Predicate familyName P18 FINISHED
Object Takamado
Takamado is a Japanese imperial family name most prominently associated with the late Prince Takamado and his descendants, a branch of Japan’s royal household.
 E164246 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: Takamado | Statement: [Princess Atsuko, familyName, Takamado]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Takamado
Context triple: [Princess Atsuko, familyName, Takamado]
  • A. Tanaka
    Tanaka is a common Japanese surname borne by numerous notable figures in politics, arts, sports, and other fields.
  • B. Shimamoto
    Shimamoto is a town in Osaka Prefecture, Japan, located between Kyoto and Osaka along the Yodo River.
  • C. Ushijima
    Ushijima is a Japanese surname borne by various notable individuals, including military figures and fictional characters.
  • D. Satō
    Satō is a common Japanese surname borne by numerous notable figures in politics, arts, sports, and other fields.
  • E. Takatsuki
    Takatsuki is a city in northern Osaka Prefecture, Japan, known as a residential and commercial hub between Osaka and Kyoto.
  • 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: Takamado
Triple: [Princess Atsuko, familyName, Takamado]
Generated description
Takamado is a Japanese imperial family name most prominently associated with the late Prince Takamado and his descendants, a branch of Japan’s royal household.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Takamado
Target entity description: Takamado is a Japanese imperial family name most prominently associated with the late Prince Takamado and his descendants, a branch of Japan’s royal household.
  • A. Tanaka
    Tanaka is a common Japanese surname borne by numerous notable figures in politics, arts, sports, and other fields.
  • B. Shimamoto
    Shimamoto is a town in Osaka Prefecture, Japan, located between Kyoto and Osaka along the Yodo River.
  • C. Ushijima
    Ushijima is a Japanese surname borne by various notable individuals, including military figures and fictional characters.
  • D. Satō
    Satō is a common Japanese surname borne by numerous notable figures in politics, arts, sports, and other fields.
  • E. Takatsuki
    Takatsuki is a city in northern Osaka Prefecture, Japan, known as a residential and commercial hub between Osaka and Kyoto.
  • 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_69a493b0f2fc81908cd227480a5356a1 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3be19448190a8863fce3d152430 completed March 1, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad013e770c8190a97a67d546da341a completed March 8, 2026, 4:55 a.m.
NEDg Description generation batch_69ad01b7d4348190b08a366a08d445dc completed March 8, 2026, 4:57 a.m.
NED2 Entity disambiguation (via description) batch_69ad024e077c8190b0ef48ac7042ac5b completed March 8, 2026, 4:59 a.m.
Created at: March 1, 2026, 7:40 p.m.