Triple
T2886925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucien Magne |
E59527
|
entity |
| Predicate | typeOfArchitect |
P4631
|
FINISHED |
| Object | ecclesiastical architect |
—
|
LITERAL FINISHED |
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: ecclesiastical architect | Statement: [Lucien Magne, typeOfArchitect, ecclesiastical architect]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfArchitect Context triple: [Lucien Magne, typeOfArchitect, ecclesiastical architect]
-
A.
architecturalRole
Indicates the functional or design-related role that one entity plays within the structure, layout, or organization of another entity.
-
B.
coArchitectOf
Indicates a relationship where two or more entities jointly serve as architects of the same project, design, or structure.
-
C.
architecturalSculptor
Indicates a relationship where a person serves as the sculptor responsible for the sculptural elements of an architectural work or structure.
-
D.
architectureType
chosen
Indicates the specific style or category of architecture that characterizes or defines an entity.
-
E.
architecturalPlanner
Indicates a relationship where an entity is responsible for designing, organizing, or planning the architectural structure or layout of another entity.
- 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_69ab4ac739188190a112f42a5a69c951 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abe0463ccc8190bf08330f40d0cfdc |
completed | March 7, 2026, 8:22 a.m. |
| PD | Predicate disambiguation | batch_69abdd15cbf08190bf7fea5ea516848a |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:03 p.m.