Triple

T28842877

Position	Surface form	Disambiguated ID	Type / Status
Subject	Cannons	`E728368`	entity
Predicate	hadLandscapeDesigner	`P19613`	FINISHED
Object	Alexander Blackwell Alexander Blackwell was an 18th-century Scottish adventurer, printer, and agriculturalist known for his varied career across Britain and Scandinavia, including work in land improvement and estate management.	`E1836424`	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: Alexander Blackwell | Statement: [Cannons, hadLandscapeDesigner, Alexander Blackwell]

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: Alexander Blackwell
Triple: [Cannons, hadLandscapeDesigner, Alexander Blackwell]

Generated description

Alexander Blackwell was an 18th-century Scottish adventurer, printer, and agriculturalist known for his varied career across Britain and Scandinavia, including work in land improvement and estate management.

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

Target predicate: hadLandscapeDesigner
Context triple: [Cannons, hadLandscapeDesigner, Alexander Blackwell]

A. hasLandscapeDesignInfluence
Indicates that one entity has influenced or shaped the landscape design style, principles, or features of another entity.
B. landscapeDesignedBy chosen
Indicates that a particular landscape or outdoor environment was planned, created, or shaped by a specific designer or design entity.
C. decorationDesigner
Indicates that one entity is the person or agent responsible for designing the decoration of another entity.
D. hasDesigned
Indicates that one entity is the creator or designer of another entity.
E. hasLandscapeArchitecturalStyle
Indicates that something (such as a site or landscape) is designed or characterized according to a particular landscape architectural style.
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_69f0319e8e7c8190b37288c8845b9dbc`	completed	April 28, 2026, 4:03 a.m.
NER	Named-entity recognition	`batch_69f6597467a081908e0048ab758bd889`	completed	May 2, 2026, 8:07 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a24bbb54c6c819088c0a7d269fdcc60`	completed	June 7, 2026, 12:30 a.m.
NEDg	Description generation	`batch_6a24c12a5b548190aa6228a4fe0d200f`	completed	June 7, 2026, 12:54 a.m.
NED2	Entity disambiguation (via description)	`batch_6a24c55ba59c81908fcfff015a36e2c0`	completed	June 7, 2026, 1:11 a.m.
PD	Predicate disambiguation	`batch_69f65762b5e481908a30ca963dcba4be`	completed	May 2, 2026, 7:58 p.m.

Created at: April 28, 2026, 6:41 a.m.