Triple
T7280076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Falkner |
E163123
|
entity |
| Predicate | isInPublicDomain |
P22736
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Falkner, isInPublicDomain, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInPublicDomain Context triple: [Falkner, isInPublicDomain, true]
-
A.
isPublicDomain
chosen
Indicates that the subject is not protected by intellectual property rights and can be freely used, copied, and distributed by anyone.
-
B.
inThePublicDomain
Indicates that the subject is not protected by intellectual property rights and may be freely used, copied, or distributed by anyone.
-
C.
reasonForPublicDomainStatus
Indicates the specific legal or factual reason why a work has entered the public domain.
-
D.
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.
-
E.
hasCreativeCommonsLicensedWorks
Indicates that an entity possesses or is associated with works that are licensed under a Creative Commons license.
- 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_69c6885c5964819085b209701769877f |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb339b1081909f648864e210f98e |
completed | March 27, 2026, 8:40 p.m. |
| PD | Predicate disambiguation | batch_69c6e76c5fbc8190b378830082f11cb0 |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 2:59 p.m.