Triple
T25157730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Story of Mankind |
E626360
|
entity |
| Predicate | originalCopyrightStatus |
P7333
|
FINISHED |
| Object | copyrighted |
—
|
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: copyrighted | Statement: [The Story of Mankind, originalCopyrightStatus, copyrighted]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalCopyrightStatus Context triple: [The Story of Mankind, originalCopyrightStatus, copyrighted]
-
A.
copyrightStatus
chosen
Indicates the legal protection state of a work, specifying whether and how it is covered by copyright.
-
B.
rightsHolderOfOriginalWork
Indicates that an entity holds the legal rights to the original version of a work from which derivatives or copies may be made.
-
C.
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).
-
D.
copyrightModel
Indicates that one entity serves as the copyright or licensing model that governs the use, distribution, or protection of another entity.
-
E.
originalPublicationOfWholeWork
Indicates that one entity is the original publication in which an entire work was first made publicly available.
- 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_69e2ff2834ec8190b0872e2ec3d76023 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f6c1265c208190aacd2b551f8f0f82 |
completed | May 3, 2026, 3:29 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2415fc81908c23c311aebce66f |
completed | May 3, 2026, 3:12 a.m. |
Created at: April 18, 2026, 6:30 a.m.