Triple

T3792825
Position Surface form Disambiguated ID Type / Status
Subject Takeharu Yamanaka E89697 entity
Predicate givenName P17 FINISHED
Object Takeharu
Takeharu is a Japanese given name commonly used for males.
E444753 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: Takeharu | Statement: [Takeharu Yamanaka, givenName, Takeharu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Takeharu
Context triple: [Takeharu Yamanaka, givenName, Takeharu]
  • A. Taisuke
    Taisuke is a Japanese given name notably borne by historical figures such as the Meiji-era politician Itagaki Taisuke.
  • B. Shintaro
    Shintaro is a Japanese given name commonly used for males and borne by various notable figures in sports, entertainment, and politics.
  • C. Tadahiko
    Tadahiko is a Japanese masculine given name used by various notable individuals in fields such as sports, arts, and academia.
  • D. Kentarō
    Kentarō is a Japanese given name commonly used for males, often associated with traditional or strong-sounding name combinations.
  • E. Takanami
    Takanami was a Japanese destroyer of the Imperial Japanese Navy during World War II, notable for being sunk in the Battle of Tassafaronga in 1942.
  • 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: Takeharu
Triple: [Takeharu Yamanaka, givenName, Takeharu]
Generated description
Takeharu is a Japanese given name commonly used for males.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Takeharu
Target entity description: Takeharu is a Japanese given name commonly used for males.
  • A. Taisuke
    Taisuke is a Japanese given name notably borne by historical figures such as the Meiji-era politician Itagaki Taisuke.
  • B. Shintaro
    Shintaro is a Japanese given name commonly used for males and borne by various notable figures in sports, entertainment, and politics.
  • C. Tadahiko
    Tadahiko is a Japanese masculine given name used by various notable individuals in fields such as sports, arts, and academia.
  • D. Kentarō
    Kentarō is a Japanese given name commonly used for males, often associated with traditional or strong-sounding name combinations.
  • E. Takanami
    Takanami was a Japanese destroyer of the Imperial Japanese Navy during World War II, notable for being sunk in the Battle of Tassafaronga in 1942.
  • 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_69aed9597d6881909b6ee3b9de859223 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee769d68081908dcdd3d232dbb61c completed March 9, 2026, 3:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69b66b21271c81909f1cf3239bc1b7eb completed March 15, 2026, 8:17 a.m.
NEDg Description generation batch_69b66c22c73c8190b75a9585cba09f59 completed March 15, 2026, 8:21 a.m.
NED2 Entity disambiguation (via description) batch_69b66caba92c819094747fc63eb71553 completed March 15, 2026, 8:24 a.m.
Created at: March 9, 2026, 3:15 p.m.