Triple
T34013728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jamestown settlement |
E872182
|
entity |
| Predicate | keyFigureInEconomy |
P139401
|
FINISHED |
| Object | John Rolfe |
—
|
NE NERFINISHED |
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: John Rolfe | Statement: [Jamestown settlement, keyFigureInEconomy, John Rolfe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: keyFigureInEconomy Context triple: [Jamestown settlement, keyFigureInEconomy, John Rolfe]
-
A.
keyFigureMentioned
chosen
Indicates that a central or important person related to the context has been explicitly referenced.
-
B.
keyEconomicPlan
Indicates that an entity serves as a primary or central economic strategy, program, or plan guiding major economic decisions or policies.
-
C.
keyFigureDuring
Indicates that an entity played a central or highly influential role during a specified period, event, or process.
-
D.
economicFunction
Indicates the role or purpose an entity serves within an economic system, such as how it contributes to production, distribution, or consumption of goods and services.
-
E.
gdpCharacteristic
Indicates a characteristic, attribute, or qualitative aspect associated with a country’s or region’s gross domestic product (GDP).
- 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_69f349a08848819084b348d64c1879c3 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f70b966860819089cf92927f47c5f1 |
completed | May 3, 2026, 8:47 a.m. |
| PD | Predicate disambiguation | batch_69f70abe43e08190b2a30930d96247c1 |
completed | May 3, 2026, 8:43 a.m. |
Created at: May 1, 2026, 1:51 a.m.