Triple

T32500606
Position Surface form Disambiguated ID Type / Status
Subject 正幸 E830646 entity
Predicate nameElement正 P174517 FINISHED
Object masa
masa is a Japanese given name element commonly used in male names, often conveying meanings such as "correct," "just," or "proper" depending on the kanji used.
 E2009345 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: masa | Statement: [正幸, nameElement正, masa]
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: masa
Triple: [正幸, nameElement正, masa]
Generated description
masa is a Japanese given name element commonly used in male names, often conveying meanings such as "correct," "just," or "proper" depending on the kanji used.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: nameElement正
Context triple: [正幸, nameElement正, masa]
  • A. nameElement
    Indicates that one entity serves as the name or label assigned to another entity or element.
  • B. nameElementIn
    Indicates that an entity is (or contains) a specific name element within a larger naming structure or system.
  • C. nameElement1
    Indicates that the first element in a pair or structure serves as or contains a name.
  • D. nameElement2
    Indicates that the second element in a pair or sequence serves as or contains a name associated with the relationship.
  • E. nameElements
    Indicates that an entity assigns or specifies the names of multiple elements within a set or structure.
  • F. None of above. chosen

Provenance (7 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_69f349219cb8819087e120f509629c1b completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6c442b4d88190a00e9781206b0520 completed May 3, 2026, 3:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34705a55008190b5cf60cab8aa145b completed June 18, 2026, 10:25 p.m.
NEDg Description generation batch_6a3471350ec08190ae5394b2a8028840 completed June 18, 2026, 10:29 p.m.
NED2 Entity disambiguation (via description) batch_6a3471d84d708190bd56542c6f09ba30 completed June 18, 2026, 10:31 p.m.
PD Predicate disambiguation batch_69f6bd2a14b081908162923dfbf0a6f4 completed May 3, 2026, 3:12 a.m.
PDg Predicate description generation batch_69f6c1b666188190ac43c3011a7df048 completed May 3, 2026, 3:32 a.m.
Created at: May 1, 2026, 12:59 a.m.