Triple
T13710879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bernard-François |
E328766
|
entity |
| Predicate | typicalUsagePeriod |
P84192
|
FINISHED |
| Object | modern era |
—
|
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: modern era | Statement: [Bernard-François, typicalUsagePeriod, modern era]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalUsagePeriod Context triple: [Bernard-François, typicalUsagePeriod, modern era]
-
A.
typicalUseDays
Indicates the usual or expected number of days over which something is used or intended to be used.
-
B.
typicalPeriod
chosen
Indicates the usual or characteristic time interval or duration associated with an event, process, or state.
-
C.
hasTypicalUseTime
Indicates the usual or expected duration or time period during which something is commonly used or in operation.
-
D.
durationOfUse
Indicates the length of time for which something is used or remains in use.
-
E.
periodOfMajorUse
Indicates the time span during which something was primarily or most intensively used.
- 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_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dd43949e6c8190ae5e4fa119cde33a |
completed | April 13, 2026, 7:27 p.m. |
| PD | Predicate disambiguation | batch_69dbbe92d77c81908e0244cffb7f78c5 |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:54 p.m.