Triple
T9751626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deutschland 86 |
E236454
|
entity |
| Predicate | producedBy |
P490
|
FINISHED |
| Object |
RTL Television
RTL Television is a major German commercial television channel known for broadcasting a wide range of entertainment, news, and original programming.
|
E818083
|
NE FINISHED |
How this triple was built (4 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 Television | Statement: [Deutschland 86, producedBy, RTL Television]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RTL Television Context triple: [Deutschland 86, producedBy, RTL Television]
-
A.
GTV
GTV is a Japanese television network that has broadcast popular anime series such as Demon Slayer: Kimetsu no Yaiba.
-
B.
We TV
We TV is an American cable television network known for its reality programming focused on relationships, family life, and pop culture.
-
C.
UNTV
UNTV is a Philippine television network known for its public service-oriented programming, news coverage, and religious content.
-
D.
FTV
FTV is the stock ticker symbol for Fortive Corporation, a diversified industrial technology company listed on the New York Stock Exchange.
-
E.
OWN TV
OWN TV is a cable television network co-founded by Oprah Winfrey that features lifestyle, talk, and scripted programming aimed primarily at African American and female audiences.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: RTL Television Triple: [Deutschland 86, producedBy, RTL Television]
Generated description
RTL Television is a major German commercial television channel known for broadcasting a wide range of entertainment, news, and original programming.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: RTL Television Target entity description: RTL Television is a major German commercial television channel known for broadcasting a wide range of entertainment, news, and original programming.
-
A.
GTV
GTV is a Japanese television network that has broadcast popular anime series such as Demon Slayer: Kimetsu no Yaiba.
-
B.
We TV
We TV is an American cable television network known for its reality programming focused on relationships, family life, and pop culture.
-
C.
UNTV
UNTV is a Philippine television network known for its public service-oriented programming, news coverage, and religious content.
-
D.
FTV
FTV is the stock ticker symbol for Fortive Corporation, a diversified industrial technology company listed on the New York Stock Exchange.
-
E.
OWN TV
OWN TV is a cable television network co-founded by Oprah Winfrey that features lifestyle, talk, and scripted programming aimed primarily at African American and female audiences.
- F. None of above. chosen
Provenance (5 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_69d1b020829481908456e7977c5f9adb |
completed | April 5, 2026, 12:43 a.m. |
| NEDg | Description generation | batch_69d1b0dde93881908fcec28de9cfa99d |
completed | April 5, 2026, 12:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1b1bbe6108190af17b75f79c0f465 |
completed | April 5, 2026, 12:50 a.m. |
Created at: March 30, 2026, 8:24 p.m.