Triple
T28842877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cannons |
E728368
|
entity |
| Predicate | hadLandscapeDesigner |
P19613
|
FINISHED |
| Object | Alexander Blackwell |
—
|
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: Alexander Blackwell | Statement: [Cannons, hadLandscapeDesigner, Alexander Blackwell]
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 (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_69f0319e8e7c8190b37288c8845b9dbc |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f6597467a081908e0048ab758bd889 |
completed | May 2, 2026, 8:07 p.m. |
| PD | Predicate disambiguation | batch_69f65762b5e481908a30ca963dcba4be |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 28, 2026, 6:41 a.m.