Triple
T8318715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Compendious Dictionary of the English Language |
E194772
|
entity |
| Predicate | hasOriginalCopyrightStatus |
P7333
|
FINISHED |
| Object | public domain (now) |
—
|
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 (now) | Statement: [A Compendious Dictionary of the English Language, hasOriginalCopyrightStatus, public domain (now)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOriginalCopyrightStatus Context triple: [A Compendious Dictionary of the English Language, hasOriginalCopyrightStatus, public domain (now)]
-
A.
copyrightStatus
chosen
Indicates the legal protection state of a work, specifying whether and how it is covered by copyright.
-
B.
hasOriginalVersion
Indicates that one entity is the original or initial version from which another entity is derived or adapted.
-
C.
hasCopyrightHolder
Indicates that a specified entity holds the legal copyright ownership or rights over another entity.
-
D.
hasOriginalWorkMedium
Indicates that an original creative work is associated with a specific medium or material in which it was first produced.
-
E.
hasDerivativeWork
Indicates that one work is based on, adapted from, or otherwise derived from another work.
- 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_69ca82e6e2648190a31eaf6f4f757b2a |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7f648e10819081ad1fed870b2b86 |
completed | March 31, 2026, 8:01 a.m. |
| PD | Predicate disambiguation | batch_69cb70bf689c8190a9d9b6b872abf53d |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 5:55 p.m.