Triple
T24023096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Voice of Germany |
E594877
|
entity |
| Predicate | hasFormatRightsHolder |
P22377
|
FINISHED |
| Object | Talpa Media |
—
|
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: Talpa Media | Statement: [The Voice of Germany, hasFormatRightsHolder, Talpa Media]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFormatRightsHolder Context triple: [The Voice of Germany, hasFormatRightsHolder, Talpa Media]
-
A.
hasBroadcastRightsHolder
Indicates that one entity holds the legal rights to broadcast content owned or controlled by another entity.
-
B.
hasCopyrightHolder
Indicates that a specified entity holds the legal copyright ownership or rights over another entity.
-
C.
hasFranchiseRightsholder
chosen
Indicates that one entity holds the legal or contractual rights to operate, manage, or exploit a particular franchise owned by 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.
hasRightsStatus
Indicates that an entity is associated with a particular legal or usage rights condition or status.
- 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_69e288be2c288190a3a46006945557f7 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d7680d5c81908d6a670159879236 |
completed | April 29, 2026, 10:03 a.m. |
| PD | Predicate disambiguation | batch_69f17639d23c8190bed93434e2f9230a |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 9:52 p.m.