Triple

T25436840
Position Surface form Disambiguated ID Type / Status
Subject Tatsuko Kawashima E637397 entity
Predicate relative by marriage of P179791 FINISHED
Object Fumihito, Crown Prince Akishino NE NERFINISHED

How this triple was built (2 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: Fumihito, Crown Prince Akishino | Statement: [Tatsuko Kawashima, relative by marriage of, Fumihito, Crown Prince Akishino]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: relative by marriage of
Context triple: [Tatsuko Kawashima, relative by marriage of, Fumihito, Crown Prince Akishino]
  • A. characterRelativeByMarriage
    Indicates that one character is related to another through marriage rather than by blood.
  • B. maritalRelations
    Indicates a legally or socially recognized spousal relationship or marriage-based connection between two entities.
  • C. spouseRelative chosen
    Indicates that one person is related to another through the marriage of at least one of them (e.g., in-laws or relatives by marriage).
  • D. connectedThroughMarriageVia
    Indicates that two entities are related to each other by a marital connection that is mediated through one or more intermediate spouses or in-laws, rather than by a direct marriage between them.
  • E. marriedBy
    Indicates that one entity is the officiant or authority who performs and formalizes the marriage of another entity.
  • F. None of above.

Provenance (3 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_69e75db6c97081908178383fa632b193 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69fb3425666081908916fcbf3b5dd907 completed May 6, 2026, 12:29 p.m.
PD Predicate disambiguation batch_69fb2f5f3164819099429c2cc3d24e01 completed May 6, 2026, 12:09 p.m.
Created at: April 21, 2026, 1:59 p.m.