Triple
T23854774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Three Men in a Boat |
E592272
|
entity |
| Predicate | hasWorkInPublicDomain |
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: [Three Men in a Boat, hasWorkInPublicDomain, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWorkInPublicDomain Context triple: [Three Men in a Boat, hasWorkInPublicDomain, true]
-
A.
hasCreativeCommonsLicensedWorks
Indicates that an entity possesses or is associated with works that are licensed under a Creative Commons license.
-
B.
hasCatalogedWorkOn
Indicates that an entity has formally recorded, listed, or documented another entity as a work within a catalog or collection.
-
C.
hasNotableWorkRights
Indicates that an entity holds legal or recognized rights associated with a notable work, such as authorship, ownership, or usage rights.
-
D.
hasWorksAbout
Indicates that one entity (such as a creator, collection, or source) includes or is associated with works whose subject or focus is another entity.
-
E.
isPublicDomain
chosen
Indicates that the subject is not protected by intellectual property rights and can be freely used, copied, and distributed by anyone.
- 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_69e25d221d908190b9b502ad31e66a3f |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c98a60b081908dbdc359f51e67fa |
completed | April 29, 2026, 9:04 a.m. |
| PD | Predicate disambiguation | batch_69f1614612b481908c45d99e588882f9 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:11 p.m.