Triple
T33948848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wren (surname) |
E870380
|
entity |
| Predicate | hasNotableCenturyAssociation |
P84738
|
FINISHED |
| Object | 17th century (via Christopher Wren) |
—
|
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: 17th century (via Christopher Wren) | Statement: [Wren (surname), hasNotableCenturyAssociation, 17th century (via Christopher Wren)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableCenturyAssociation Context triple: [Wren (surname), hasNotableCenturyAssociation, 17th century (via Christopher Wren)]
-
A.
notableFromCentury
Indicates that an entity is notably associated with, or best known from, a particular century.
-
B.
associatedWithCentury
Indicates that something has a relevant connection or linkage to a particular century, such as occurring in, belonging to, or being characteristic of that time period.
-
C.
hasNotableBearerCentury
chosen
Indicates that an entity has at least one notable bearer whose period of notability falls within the specified century.
-
D.
ownedInCentury
Indicates that one entity owned another during a specified century.
-
E.
claimedInCentury
Indicates that a claim or assertion was made or recorded during a specified century.
- 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_69f3499b0dd48190b07b4b60babcee02 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a0227ce59a081909fe1ba1181d86b4d |
completed | May 11, 2026, 7:02 p.m. |
| PD | Predicate disambiguation | batch_6a02273989208190beb948b8c7bdaee3 |
completed | May 11, 2026, 7 p.m. |
Created at: May 1, 2026, 1:49 a.m.