Triple
T428748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rip Van Winkle |
E9666
|
entity |
| Predicate | hasPublicDomainStatus |
P7333
|
FINISHED |
| Object | public domain in the United States |
—
|
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: public domain in the United States | Statement: [Rip Van Winkle, hasPublicDomainStatus, public domain in the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPublicDomainStatus Context triple: [Rip Van Winkle, hasPublicDomainStatus, public domain in the United States]
-
A.
hasLegalDepositRightFor
Indicates that an entity holds the legal right to receive, collect, or claim deposited materials (such as publications or documents) from another entity under legal deposit regulations.
-
B.
copyrightStatus
chosen
Indicates the legal protection state of a work, specifying whether and how it is covered by copyright.
-
C.
hasLegalStatus
Indicates that an entity possesses a particular legal classification, recognition, or standing under law.
-
D.
hasCreativeCommonsLicensedWorks
Indicates that an entity possesses or is associated with works that are licensed under a Creative Commons license.
-
E.
authorshipStatus
Indicates the current state or condition of an entity’s role as an author in relation to a work (e.g., confirmed, disputed, anonymous, or pending).
- 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_69a2e801e1d48190b505d1dd336b52ac |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2eeecb64c81908c5c83ef7c0181e6 |
completed | Feb. 28, 2026, 1:34 p.m. |
| PD | Predicate disambiguation | batch_69a2edd7a3608190b8785c7b7205f6c1 |
completed | Feb. 28, 2026, 1:29 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.