Triple

T23686546

Position	Surface form	Disambiguated ID	Type / Status
Subject	Princessehof National Museum of Ceramics	`E585182`	entity
Predicate	formerResidentOfBuilding	`P4907`	FINISHED
Object	Maria Louise of Hesse-Kassel Maria Louise of Hesse-Kassel was an 18th-century German-born princess who became a prominent Dutch royal consort and influential matriarch of the House of Orange-Nassau.	`E2288882`	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: Maria Louise of Hesse-Kassel | Statement: [Princessehof National Museum of Ceramics, formerResidentOfBuilding, Maria Louise of Hesse-Kassel]

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: Maria Louise of Hesse-Kassel
Triple: [Princessehof National Museum of Ceramics, formerResidentOfBuilding, Maria Louise of Hesse-Kassel]

Generated description

Maria Louise of Hesse-Kassel was an 18th-century German-born princess who became a prominent Dutch royal consort and influential matriarch of the House of Orange-Nassau.

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

Target predicate: formerResidentOfBuilding
Context triple: [Princessehof National Museum of Ceramics, formerResidentOfBuilding, Maria Louise of Hesse-Kassel]

A. formerOccupant
Indicates that an entity previously occupied a position, role, or place but no longer does so.
B. formerResidenceOf chosen
Indicates that a location was once the place where a person or entity lived or was based, but is no longer their current residence.
C. hasNearbyFormerResidenceOf
Indicates that one entity is located near a place that used to be the residence of another entity.
D. laterOccupant
Indicates that one entity occupied or held a position in a place or role after another entity had previously done so.
E. usedAtResidence
Indicates that an object, resource, or service is utilized within or for the purposes of a particular residence.
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_69e249037ce0819088b149608e98f685`	completed	April 17, 2026, 2:51 p.m.
NER	Named-entity recognition	`batch_69f1b5bf1c10819085d48c4225cc63fc`	completed	April 29, 2026, 7:39 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a5ae89653f48190a4d4d7ed5dd9bb80`	completed	July 18, 2026, 2:44 a.m.
NEDg	Description generation	`batch_6a5ae917ac6081908c155e04066220f8`	completed	July 18, 2026, 2:46 a.m.
NED2	Entity disambiguation (via description)	`batch_6a5ae966aa7c8190a53aae09e450118e`	completed	July 18, 2026, 2:48 a.m.
PD	Predicate disambiguation	`batch_69f155d5265881908e43a9696b6a6d0f`	completed	April 29, 2026, 12:50 a.m.

Created at: April 17, 2026, 6:52 p.m.