Triple
T29580921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Estate of Isaac Asimov |
E753578
|
entity |
| Predicate | controlsLiteraryRightsOf |
P15514
|
FINISHED |
| Object | Isaac Asimov |
—
|
NE NERFINISHED |
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: Isaac Asimov | Statement: [Estate of Isaac Asimov, controlsLiteraryRightsOf, Isaac Asimov]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: controlsLiteraryRightsOf Context triple: [Estate of Isaac Asimov, controlsLiteraryRightsOf, Isaac Asimov]
-
A.
managedLiteraryEstateOf
chosen
Indicates that one entity was responsible for administering, overseeing, or controlling the literary estate (such as copyrights, manuscripts, and related rights) of another entity.
-
B.
rightsManagement
Indicates the management, control, and enforcement of usage rights or permissions associated with an entity or resource.
-
C.
managesMoralRightsOf
Indicates that one entity is responsible for overseeing, protecting, or administering the moral rights associated with another entity’s creative work.
-
D.
commercialRightsHolderOf
Indicates that one entity holds the legal commercial rights to exploit, license, or profit from another entity.
-
E.
copyrightStatus
Indicates the legal protection state of a work, specifying whether and how it is covered by copyright.
- 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_69f0ef80bf8c8190ad286e99f7df0c63 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69fd09840ea88190a2e6d7e577ade717 |
completed | May 7, 2026, 9:52 p.m. |
| PD | Predicate disambiguation | batch_69fd064c49988190afadddbd04d7cb94 |
completed | May 7, 2026, 9:38 p.m. |
Created at: April 28, 2026, 6:06 p.m.