Triple
T5803636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NFL Players Inc. |
E128686
|
entity |
| Predicate | typeOfRightsManaged |
P5038
|
FINISHED |
| Object | name, image, and likeness 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: name, image, and likeness rights | Statement: [NFL Players Inc., typeOfRightsManaged, name, image, and likeness rights]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfRightsManaged Context triple: [NFL Players Inc., typeOfRightsManaged, name, image, and likeness rights]
-
A.
typeOfRight
chosen
Indicates the specific category or nature of a right that is held, exercised, or assigned in a given context.
-
B.
acquiredRightsTo
Indicates that one entity has obtained legal or contractual ownership, control, or usage rights over something previously held by another entity.
-
C.
typeOfLicensingItManaged
Indicates that one entity manages or oversees the licensing arrangements or permissions associated with another entity.
-
D.
hasDistributionRights
Indicates that one entity is legally authorized to distribute another entity’s product, content, or service within specified terms or territories.
-
E.
typeOfAccess
Indicates the specific kind or level of access that one entity has to another (such as read, write, or execute permissions).
- 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_69c00846a0d881909e46841f8e156b64 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02b1304588190b59a18fb7b70a60f |
completed | March 22, 2026, 5:46 p.m. |
| PD | Predicate disambiguation | batch_69c021d477008190946113f9859eeb90 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:52 p.m.