Triple

T20595996

Position	Surface form	Disambiguated ID	Type / Status
Subject	Princess Ayako of Takamado	`E506049`	entity
Predicate	postMarriageName	`P99359`	FINISHED
Object	Ayako Moriya Ayako Moriya is a former member of the Japanese imperial family who became a commoner after her marriage and is known for her public and charitable activities.	`E1637564`	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: Ayako Moriya | Statement: [Princess Ayako of Takamado, postMarriageName, Ayako Moriya]

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: Ayako Moriya
Triple: [Princess Ayako of Takamado, postMarriageName, Ayako Moriya]

Generated description

Ayako Moriya is a former member of the Japanese imperial family who became a commoner after her marriage and is known for her public and charitable activities.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: postMarriageName
Context triple: [Princess Ayako of Takamado, postMarriageName, Ayako Moriya]

A. laterMarriedName chosen
Indicates that the referenced name is a surname or full name a person adopted after a later marriage, replacing or succeeding their previous name.
B. hasMarriedSurname
Indicates that a person’s current surname is the one they adopted through marriage.
C. spouseNameAtMarriage
Indicates the full name a person’s spouse had at the time of their marriage.
D. marriedAfter
Indicates that one marriage occurred later in time than another specified marriage.
E. spouse name
Indicates that one entity is the legally recognized husband or wife of the other, specifying the partner’s name in a marital relationship.
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_69e0b4ba6ae88190af871e1f9522c704`	completed	April 16, 2026, 10:06 a.m.
NER	Named-entity recognition	`batch_69e6aa1bea1c81908b85f38b2a471285`	completed	April 20, 2026, 10:35 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a0fee3d94748190a6efd95f0ed16de5`	completed	May 22, 2026, 5:48 a.m.
NEDg	Description generation	`batch_6a0fef6feb088190870b41df1edb338e`	completed	May 22, 2026, 5:53 a.m.
NED2	Entity disambiguation (via description)	`batch_6a0ff0485fd881909fe491c9183491de`	completed	May 22, 2026, 5:57 a.m.
PD	Predicate disambiguation	`batch_69e59fffe1748190825e4eaa90340631`	completed	April 20, 2026, 3:39 a.m.

Created at: April 16, 2026, 11:40 a.m.