Triple
T5124853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turner Entertainment |
E115558
|
entity |
| Predicate | ownsRightsTo |
P39434
|
FINISHED |
| Object | numerous Academy Award-winning films |
—
|
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: numerous Academy Award-winning films | Statement: [Turner Entertainment, ownsRightsTo, numerous Academy Award-winning films]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ownsRightsTo Context triple: [Turner Entertainment, ownsRightsTo, numerous Academy Award-winning films]
-
A.
hasRightsOver
chosen
Indicates that one entity possesses legal, moral, or formal entitlements or authority over another entity.
-
B.
canOwn
Indicates that one entity is permitted or legally able to possess or hold ownership rights over another entity.
-
C.
hasLegalRight
Indicates that an entity possesses an officially recognized legal entitlement or permission to perform an action or hold a claim regarding another entity.
-
D.
rightsInclude
Indicates that one set of rights encompasses, contains, or subsumes another set of rights.
-
E.
hasAccessTo
Indicates that one entity is permitted to enter, use, or interact with another entity, resource, or location.
- 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_69bd4442ade0819087b9461f892b206b |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7d5a23908190a24e79d1b29d6fcf |
completed | March 20, 2026, 5:01 p.m. |
| PD | Predicate disambiguation | batch_69bd77aa68b88190a50dd736a72d2901 |
completed | March 20, 2026, 4:36 p.m. |
Created at: March 20, 2026, 1:42 p.m.