Triple
T16398864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary Philipse |
E398255
|
entity |
| Predicate | confiscationReason |
P17602
|
FINISHED |
| Object | Loyalist allegiance during the American Revolutionary War |
—
|
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: Loyalist allegiance during the American Revolutionary War | Statement: [Mary Philipse, confiscationReason, Loyalist allegiance during the American Revolutionary War]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: confiscationReason Context triple: [Mary Philipse, confiscationReason, Loyalist allegiance during the American Revolutionary War]
-
A.
confiscatedBy
Indicates that something has been taken away and seized by an authority or agent, typically as a legal or disciplinary action.
-
B.
confiscationContext
chosen
Indicates the circumstances, reasons, or legal basis under which something is seized or taken away from its owner by an authority.
-
C.
expulsionReason
Indicates the cause or justification for which an entity was expelled from a group, place, or institution.
-
D.
reasonForSanctions
Indicates the underlying cause or justification for imposing sanctions on an entity.
-
E.
condemnationReason
Indicates the reason or grounds for which something or someone is condemned or judged negatively.
- 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_69d87f2950248190bc8ad9b9bebdc8c8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e327cdc62481909de144b09a921e63 |
completed | April 18, 2026, 6:42 a.m. |
| PD | Predicate disambiguation | batch_69e226fe1dd08190865c181721f8c348 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:09 a.m.