Triple

T32970469
Position Surface form Disambiguated ID Type / Status
Subject 百武裕司 E843500 entity
Predicate P744 FINISHED
Object 裕司
裕司 is a Japanese given name typically used for males.
E2029937 NE FINISHED

How this triple was built (3 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: 裕司 | Statement: [百武裕司, 名, 裕司]
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: 裕司
Triple: [百武裕司, 名, 裕司]
Generated description
裕司 is a Japanese given name typically used for males.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 名
Context triple: [百武裕司, 名, 裕司]
  • A.
    Indicates that the second person is the grandchild (specifically grandson) of the first person.
  • B. 名物
    Indicates that something is a famous local specialty or notable product strongly associated with a particular place.
  • C. nameOf chosen
    Indicates that one entity is the name or designation of another entity.
  • D. nameInChinese
    Indicates that an entity has a specific written name or label expressed in the Chinese language.
  • E. nameElement正
    Indicates that an entity’s name includes the specific element or component denoted by 正.
  • F. None of above.

Provenance (6 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_69f3494b9fc48190bb61c955ba471275 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d1aa6c6481909e8e2968d4f3029d completed May 3, 2026, 4:40 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34d28281648190a58d36fe66133a57 completed June 19, 2026, 5:24 a.m.
NEDg Description generation batch_6a34d35803148190815cb96805ce4ba0 completed June 19, 2026, 5:27 a.m.
NED2 Entity disambiguation (via description) batch_6a34d423fc108190aeb3f93fbabdf591 completed June 19, 2026, 5:31 a.m.
PD Predicate disambiguation batch_69f6cfe5f93c8190995c53dbbe380a32 completed May 3, 2026, 4:32 a.m.
Created at: May 1, 2026, 1:21 a.m.