Triple

T12543504
Position Surface form Disambiguated ID Type / Status
Subject Haruo Remeliik E299899 entity
Predicate givenName P17 FINISHED
Object Haruo
Haruo is a masculine given name of Japanese origin, commonly used in Japan and among Japanese communities worldwide.
 E1007385 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: Haruo | Statement: [Haruo Remeliik, givenName, Haruo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Haruo
Context triple: [Haruo Remeliik, givenName, Haruo]
  • A. Hisashi
    Hisashi is a Japanese masculine given name borne by various notable individuals in fields such as law, politics, sports, and the arts.
  • B. Shintaro
    Shintaro is a Japanese given name commonly used for males and borne by various notable figures in sports, entertainment, and politics.
  • C. Takahito
    Takahito, better known by his title Prince Mikasa, was a member of the Japanese imperial family and the youngest son of Emperor Taishō.
  • D. Hiroaki
    Hiroaki is a Japanese masculine given name that can be written with various kanji combinations and is borne by numerous notable figures in fields such as politics, sports, and the arts.
  • E. Taisuke
    Taisuke is a Japanese given name notably borne by historical figures such as the Meiji-era politician Itagaki Taisuke.
  • 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: Haruo
Triple: [Haruo Remeliik, givenName, Haruo]
Generated description
Haruo is a masculine given name of Japanese origin, commonly used in Japan and among Japanese communities worldwide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Haruo
Target entity description: Haruo is a masculine given name of Japanese origin, commonly used in Japan and among Japanese communities worldwide.
  • A. Hisashi
    Hisashi is a Japanese masculine given name borne by various notable individuals in fields such as law, politics, sports, and the arts.
  • B. Shintaro
    Shintaro is a Japanese given name commonly used for males and borne by various notable figures in sports, entertainment, and politics.
  • C. Takahito
    Takahito, better known by his title Prince Mikasa, was a member of the Japanese imperial family and the youngest son of Emperor Taishō.
  • D. Hiroaki
    Hiroaki is a Japanese masculine given name that can be written with various kanji combinations and is borne by numerous notable figures in fields such as politics, sports, and the arts.
  • E. Taisuke
    Taisuke is a Japanese given name notably borne by historical figures such as the Meiji-era politician Itagaki Taisuke.
  • 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_69d6ada707008190aaec1238117c9379 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9547d6df4819080db8415d386ed38 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69b847de481908163d59cc939e132 completed May 3, 2026, 12:49 a.m.
NEDg Description generation batch_69f69c69bb608190a3fb27227cd742b1 completed May 3, 2026, 12:52 a.m.
NED2 Entity disambiguation (via description) batch_69f69d4ef7988190890f8a62280aa673 completed May 3, 2026, 12:56 a.m.
Created at: April 8, 2026, 9:57 p.m.