Triple
T37395522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Paul’s Anglican Church, Toronto |
E928841
|
entity |
| Predicate | hasAdditionsDesignedBy |
P184
|
FINISHED |
| Object | Edward James Lennox |
—
|
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: Edward James Lennox | Statement: [St. Paul’s Anglican Church, Toronto, hasAdditionsDesignedBy, Edward James Lennox]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAdditionsDesignedBy Context triple: [St. Paul’s Anglican Church, Toronto, hasAdditionsDesignedBy, Edward James Lennox]
-
A.
hasDesigned
Indicates that one entity is the creator or designer of another entity.
-
B.
hasDesignInputFrom
Indicates that the design of one entity is based on, influenced by, or derived from input provided by another entity.
-
C.
designedBy
chosen
Indicates that one entity is the creator, planner, or architect responsible for the form or structure of another entity.
-
D.
hasDesign
Indicates that one entity possesses, embodies, or is characterized by a particular design associated with another entity.
-
E.
designSucceededBy
Indicates that one design is followed or replaced by another design in a temporal or version sequence.
- 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_69f76ebb10c481909b54b9dba263e29f |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fe6fea4a288190bf8615c5d6bf41b4 |
completed | May 8, 2026, 11:21 p.m. |
| PD | Predicate disambiguation | batch_69fe6f774de08190975a2393b9a1fd22 |
completed | May 8, 2026, 11:19 p.m. |
Created at: May 3, 2026, 4:16 p.m.