Triple
T10967467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary Norris |
E259139
|
entity |
| Predicate | yearOfArrivalInNorthAmerica |
P26445
|
FINISHED |
| Object | 1620 |
—
|
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: 1620 | Statement: [Mary Norris, yearOfArrivalInNorthAmerica, 1620]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfArrivalInNorthAmerica Context triple: [Mary Norris, yearOfArrivalInNorthAmerica, 1620]
-
A.
yearOfArrivalInNewWorld
chosen
Indicates the specific year in which an entity arrived in the New World.
-
B.
introducedFromOldWorldToAmericas
Indicates that something was brought or transferred from the Old World (Europe, Africa, or Asia) to the Americas for the first time.
-
C.
settledInYear
Indicates the specific calendar year in which an entity became established, inhabited, or formally settled in a particular place or status.
-
D.
dateOfPacificArrival
Indicates the date on which an entity arrived at a location on or in the Pacific region.
-
E.
yearOfEmigration
Indicates the specific year in which an entity permanently left its country or place of origin to settle elsewhere.
- 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_69d6aa88500c819097d7032ca578e74f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7714ab8588190874289f84a132fe1 |
completed | April 9, 2026, 9:28 a.m. |
| PD | Predicate disambiguation | batch_69d72e8c27cc81908050590b7a04cafd |
completed | April 9, 2026, 4:43 a.m. |
Created at: April 8, 2026, 9:24 p.m.