Triple

T1128938

Position	Surface form	Disambiguated ID	Type / Status
Subject	Anne, Princess Royal and Princess of Orange	`E24782`	entity
Predicate	child	`P120`	FINISHED
Object	Princess Anna of Orange-Nassau Princess Anna of Orange-Nassau was an 18th-century Dutch princess of the House of Orange-Nassau, notable as the daughter of Anne, Princess Royal of Great Britain, and a member of the broader European royal network.	`E229378`	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: Princess Anna of Orange-Nassau | Statement: [Anne, Princess Royal and Princess of Orange, child, Princess Anna of Orange-Nassau]

NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07

Target entity: Princess Anna of Orange-Nassau
Context triple: [Anne, Princess Royal and Princess of Orange, child, Princess Anna of Orange-Nassau]

A. Princess Carolina of Orange-Nassau
Princess Carolina of Orange-Nassau was an 18th-century Dutch princess of the House of Orange who played a notable role in European dynastic politics through her marriage into the German nobility.
B. Louise Juliana of Nassau
Louise Juliana of Nassau was a Dutch noblewoman of the House of Orange-Nassau who became Electress Palatine and played a significant role in early 17th-century European dynastic politics.
C. Princess Marianne of the Netherlands
Princess Marianne of the Netherlands was a 19th-century Dutch royal princess, known for her unconventional personal life, philanthropy, and patronage of the arts.
D. Princess Sophie of the Netherlands
Princess Sophie of the Netherlands was a 19th-century Dutch royal who became Grand Duchess of Saxe-Weimar-Eisenach through marriage and was known for her intellectual interests and patronage of the arts.
E. Juliana of the Netherlands
Juliana of the Netherlands was Queen of the Netherlands from 1948 to 1980, known for her down-to-earth style, social engagement, and role in guiding the country through postwar reconstruction and decolonization.
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: Princess Anna of Orange-Nassau
Triple: [Anne, Princess Royal and Princess of Orange, child, Princess Anna of Orange-Nassau]

Generated description

Princess Anna of Orange-Nassau was an 18th-century Dutch princess of the House of Orange-Nassau, notable as the daughter of Anne, Princess Royal of Great Britain, and a member of the broader European royal network.

NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07

Target entity: Princess Anna of Orange-Nassau
Target entity description: Princess Anna of Orange-Nassau was an 18th-century Dutch princess of the House of Orange-Nassau, notable as the daughter of Anne, Princess Royal of Great Britain, and a member of the broader European royal network.

A. Princess Carolina of Orange-Nassau
Princess Carolina of Orange-Nassau was an 18th-century Dutch princess of the House of Orange who played a notable role in European dynastic politics through her marriage into the German nobility.
B. Louise Juliana of Nassau
Louise Juliana of Nassau was a Dutch noblewoman of the House of Orange-Nassau who became Electress Palatine and played a significant role in early 17th-century European dynastic politics.
C. Princess Marianne of the Netherlands
Princess Marianne of the Netherlands was a 19th-century Dutch royal princess, known for her unconventional personal life, philanthropy, and patronage of the arts.
D. Princess Sophie of the Netherlands
Princess Sophie of the Netherlands was a 19th-century Dutch royal who became Grand Duchess of Saxe-Weimar-Eisenach through marriage and was known for her intellectual interests and patronage of the arts.
E. Juliana of the Netherlands
Juliana of the Netherlands was Queen of the Netherlands from 1948 to 1980, known for her down-to-earth style, social engagement, and role in guiding the country through postwar reconstruction and decolonization.
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_69a4940712c88190aa244f3fc6070a65`	completed	March 1, 2026, 7:31 p.m.
NER	Named-entity recognition	`batch_69a4bbdea9b88190a88da718bf5c1897`	completed	March 1, 2026, 10:21 p.m.
NED1	Entity disambiguation (via context triple)	`batch_69ae1fa73fe8819097bcd6c07793bc52`	completed	March 9, 2026, 1:17 a.m.
NEDg	Description generation	`batch_69ae20efd4dc8190addf69c80a33d247`	completed	March 9, 2026, 1:22 a.m.
NED2	Entity disambiguation (via description)	`batch_69ae21b4ce248190bbd7542592db0ec4`	completed	March 9, 2026, 1:26 a.m.

Created at: March 1, 2026, 7:44 p.m.