Triple
T9751620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deutschland 86 |
E236454
|
entity |
| Predicate | originalNetwork |
P2594
|
FINISHED |
| Object | RTL |
E818083
|
NE 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: RTL | Statement: [Deutschland 86, originalNetwork, RTL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RTL Context triple: [Deutschland 86, originalNetwork, RTL]
-
A.
RTL
RTL is a major German commercial television channel known for broadcasting popular entertainment, drama series, and reality programming.
-
B.
RL
RL is the commonly used acronym for the U.S. Department of Energy’s Richland Operations Office, which oversees environmental cleanup and related activities at the Hanford Site in Washington State.
-
C.
RL
RL is an American R&B singer best known as a member of the group Next and for his smooth vocal contributions to late-1990s and early-2000s R&B hits.
-
D.
RTL Television
chosen
RTL Television is a major German commercial television channel known for broadcasting a wide range of entertainment, news, and original programming.
-
E.
LR
LR is the commonly used abbreviation for Les Républicains, a major center-right political party in France.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca84d4eddc8190996fec1417d2bae8 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9facd5b881909f0569b23f308815 |
completed | April 1, 2026, 10:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1bcd60e1c81908ea2e38ca91e58f6 |
completed | April 5, 2026, 1:37 a.m. |
Created at: March 30, 2026, 8:24 p.m.