Triple
T34251902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Middle-earth Enterprises |
E878770
|
entity |
| Predicate | managesRightsType |
P80508
|
FINISHED |
| Object | merchandising rights |
—
|
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: merchandising rights | Statement: [Middle-earth Enterprises, managesRightsType, merchandising rights]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: managesRightsType Context triple: [Middle-earth Enterprises, managesRightsType, merchandising rights]
-
A.
grantedRightsType
Indicates the specific category or nature of rights that have been granted in a given permission or authorization relationship.
-
B.
managesResourceType
Indicates that an entity is responsible for overseeing, controlling, or administering a particular type or category of resource.
-
C.
typeOfRight
Indicates the specific category or nature of a right that is held, exercised, or assigned in a given context.
-
D.
rightsManagement
chosen
Indicates the management, control, and enforcement of usage rights or permissions associated with an entity or resource.
-
E.
managesMoralRightsOf
Indicates that one entity is responsible for overseeing, protecting, or administering the moral rights associated with another entity’s creative 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_69f349b3618481909df955b063f305b2 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fcc4b700748190ae00b21d09c96695 |
completed | May 7, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69fcb0f9d3d881908a049475182fb039 |
completed | May 7, 2026, 3:34 p.m. |
Created at: May 1, 2026, 1:56 a.m.