Triple

T13601475
Position Surface form Disambiguated ID Type / Status
Subject Hoshi Tōru E324951 entity
Predicate givenName P17 FINISHED
Object Tōru
Tōru is a Japanese given name commonly used for males and borne by various notable figures in fields such as entertainment, sports, and literature.
 E1049582 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: Tōru | Statement: [Hoshi Tōru, givenName, Tōru]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tōru
Context triple: [Hoshi Tōru, givenName, Tōru]
  • A. Takahito
    Takahito, better known by his title Prince Mikasa, was a member of the Japanese imperial family and the youngest son of Emperor Taishō.
  • B. Tarō
    Tarō is a common Japanese masculine given name, often written with kanji meaning "eldest son" and frequently used in traditional and modern Japanese culture.
  • C. Taisuke
    Taisuke is a Japanese given name notably borne by historical figures such as the Meiji-era politician Itagaki Taisuke.
  • D. Kōjun
    Kōjun was the posthumous name of Empress Kōjun, the wife of Emperor Shōwa (Hirohito) and mother of Emperor Emeritus Akihito of Japan.
  • E. Tomonori
    Tomonori is a Japanese masculine given name used by various notable individuals in fields such as sports and entertainment.
  • 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: Tōru
Triple: [Hoshi Tōru, givenName, Tōru]
Generated description
Tōru is a Japanese given name commonly used for males and borne by various notable figures in fields such as entertainment, sports, and literature.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tōru
Target entity description: Tōru is a Japanese given name commonly used for males and borne by various notable figures in fields such as entertainment, sports, and literature.
  • A. Takahito
    Takahito, better known by his title Prince Mikasa, was a member of the Japanese imperial family and the youngest son of Emperor Taishō.
  • B. Tarō
    Tarō is a common Japanese masculine given name, often written with kanji meaning "eldest son" and frequently used in traditional and modern Japanese culture.
  • C. Taisuke
    Taisuke is a Japanese given name notably borne by historical figures such as the Meiji-era politician Itagaki Taisuke.
  • D. Kōjun
    Kōjun was the posthumous name of Empress Kōjun, the wife of Emperor Shōwa (Hirohito) and mother of Emperor Emeritus Akihito of Japan.
  • E. Tomonori
    Tomonori is a Japanese masculine given name used by various notable individuals in fields such as sports and entertainment.
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb07ad3f48190a2173e42c5cfedb1 completed April 12, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76bcde38c8190bc773c3afce75723 completed May 3, 2026, 3:37 p.m.
NEDg Description generation batch_69f776449724819096d5363184839e66 completed May 3, 2026, 4:22 p.m.
NED2 Entity disambiguation (via description) batch_69f77923fd1481908af251a1dcbcf441 completed May 3, 2026, 4:34 p.m.
Created at: April 9, 2026, 9:49 p.m.