Triple
T11430233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ruskin v. Whistler libel case |
E270858
|
entity |
| Predicate | plaintiffNationality |
P99265
|
FINISHED |
| Object | American-born |
—
|
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: American-born | Statement: [Ruskin v. Whistler libel case, plaintiffNationality, American-born]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: plaintiffNationality Context triple: [Ruskin v. Whistler libel case, plaintiffNationality, American-born]
-
A.
defendantsNationality
Indicates that the specified nationality is attributed to the defendants in a legal case.
-
B.
debtorNationality
Indicates that the specified nationality is the country of citizenship or legal national affiliation of the debtor in the relationship.
-
C.
creditorNationality
Indicates that the creditor is associated with, or belongs to, a particular nationality.
-
D.
ownerNationality
Indicates that the owner of an entity has the specified nationality.
-
E.
countryOfProsecution
Indicates the country in which legal prosecution of an entity or case takes place.
- F. None of above. chosen
Provenance (4 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_69d6aadeef688190874bcecd88b3dd9b |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d806c1bfb881909720c74fe0fa837f |
completed | April 9, 2026, 8:06 p.m. |
| PD | Predicate disambiguation | batch_69d7e71436f88190ac7e45a04ea5c987 |
completed | April 9, 2026, 5:51 p.m. |
| PDg | Predicate description generation | batch_69d80010712c819089ea2e31e664abe1 |
completed | April 9, 2026, 7:37 p.m. |
Created at: April 8, 2026, 9:35 p.m.