Triple
T5164643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anne Hutchinson Memorial in New York |
E116520
|
entity |
| Predicate | historicalFigureCentury |
P44960
|
FINISHED |
| Object | 17th century |
—
|
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 | Statement: [Anne Hutchinson Memorial in New York, historicalFigureCentury, 17th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalFigureCentury Context triple: [Anne Hutchinson Memorial in New York, historicalFigureCentury, 17th century]
-
A.
centuryLivedIn
Indicates the century during which an entity (typically a person) was alive or primarily active.
-
B.
cameToPowerInCentury
Indicates that an entity assumed ruling authority or control during a specified century.
-
C.
hasCenturyOfPersonCommemorated
chosen
Indicates the century in which the person being commemorated lived or was active.
-
D.
wasBornInCentury
Indicates that an entity’s birth occurred during a specified century.
-
E.
historicalFigure
Indicates that an entity is recognized as a notable person from the past who played a significant role in history.
- 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_69bd445edb3881909b93b34d260717fc |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd792936d48190825da8826448c1da |
completed | March 20, 2026, 4:43 p.m. |
| PD | Predicate disambiguation | batch_69bd77b36c008190b91011a9fa52b3d2 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:44 p.m.