Triple

T17359662
Position Surface form Disambiguated ID Type / Status
Subject Takao Doi E422033 entity
Predicate givenName P17 FINISHED
Object Takao
Takao is a Japanese masculine given name commonly borne by notable figures in fields such as science, sports, and the arts.
 E1487924 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: Takao | Statement: [Takao Doi, givenName, Takao]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Takao
Context triple: [Takao Doi, givenName, Takao]
  • A. Takao
    Takao was a lead Takao-class heavy cruiser of the Imperial Japanese Navy that served prominently in the Pacific Theater during World War II.
  • B. Ōyama
    Ōyama is a Japanese surname borne by various notable figures in Japan’s military, political, and cultural history.
  • C. Oyama
    Oyama is a city in Tochigi Prefecture, Japan, known as a key commercial and transportation hub within the northern Kantō region.
  • D. Oyama
    Oyama is a small genus of flowering plants in the magnolia family, known for its ornamental, magnolia-like shrubs or small trees.
  • E. Yagiyama
    Yagiyama is a hilly district in Sendai, Japan, known for its zoo, amusement park, and scenic views over the city.
  • 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: Takao
Triple: [Takao Doi, givenName, Takao]
Generated description
Takao is a Japanese masculine given name commonly borne by notable figures in fields such as science, sports, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Takao
Target entity description: Takao is a Japanese masculine given name commonly borne by notable figures in fields such as science, sports, and the arts.
  • A. Takao
    Takao was a lead Takao-class heavy cruiser of the Imperial Japanese Navy that served prominently in the Pacific Theater during World War II.
  • B. Ōyama
    Ōyama is a Japanese surname borne by various notable figures in Japan’s military, political, and cultural history.
  • C. Oyama
    Oyama is a city in Tochigi Prefecture, Japan, known as a key commercial and transportation hub within the northern Kantō region.
  • D. Oyama
    Oyama is a small genus of flowering plants in the magnolia family, known for its ornamental, magnolia-like shrubs or small trees.
  • E. Yagiyama
    Yagiyama is a hilly district in Sendai, Japan, known for its zoo, amusement park, and scenic views over the city.
  • 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_69d889d520008190a26917a95bf1c2ea completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a4be7448190988593ee342348c1 completed April 19, 2026, 2:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09e11c15f08190a8db613e7b34f0a7 completed May 17, 2026, 3:39 p.m.
NEDg Description generation batch_6a09e20fc78c8190938ec8f40ff98772 completed May 17, 2026, 3:43 p.m.
NED2 Entity disambiguation (via description) batch_6a09e2b77d90819083138b6cbe80eb85 completed May 17, 2026, 3:45 p.m.
Created at: April 10, 2026, 5:44 a.m.