Triple
T11842170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TVKO |
E281677
|
entity |
| Predicate | brandNameMeaning |
P19939
|
FINISHED |
| Object |
Television Knockout
Television Knockout is a brand name likely associated with high-impact, attention-grabbing television content or services.
|
E949164
|
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: Television Knockout | Statement: [TVKO, brandNameMeaning, Television Knockout]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Television Knockout Context triple: [TVKO, brandNameMeaning, Television Knockout]
-
A.
Showdown
Showdown is the fiercely contested Australian Football League derby between the Port Adelaide Football Club and the Adelaide Crows.
-
B.
Showdown
Showdown is a climactic segment or episode within "The E.N.D." that serves as a decisive confrontation or resolution point in the work’s narrative.
-
C.
Showdown
"Showdown" is a song featured on the album *In the Zone* by American pop singer Britney Spears.
-
D.
News at Ten
News at Ten is the BBC’s flagship late-evening television news bulletin, providing in-depth national and international news coverage each night.
-
E.
Big Ticket Television
Big Ticket Television is an American television production company known for producing popular sitcoms and syndicated series in the 1990s and 2000s.
- 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: Television Knockout Triple: [TVKO, brandNameMeaning, Television Knockout]
Generated description
Television Knockout is a brand name likely associated with high-impact, attention-grabbing television content or services.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Television Knockout Target entity description: Television Knockout is a brand name likely associated with high-impact, attention-grabbing television content or services.
-
A.
Showdown
Showdown is a climactic segment or episode within "The E.N.D." that serves as a decisive confrontation or resolution point in the work’s narrative.
-
B.
Showdown
Showdown is the fiercely contested Australian Football League derby between the Port Adelaide Football Club and the Adelaide Crows.
-
C.
Showdown
"Showdown" is a song featured on the album *In the Zone* by American pop singer Britney Spears.
-
D.
News at Ten
News at Ten is the BBC’s flagship late-evening television news bulletin, providing in-depth national and international news coverage each night.
-
E.
Big Ticket Television
Big Ticket Television is an American television production company known for producing popular sitcoms and syndicated series in the 1990s and 2000s.
- 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_69d6ab287ba48190a5178779fd19b9b7 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a65a597c8190b09f57463b279afc |
completed | April 10, 2026, 7:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f1678668ac81909bddf67e8c176757 |
completed | April 29, 2026, 2:05 a.m. |
| NEDg | Description generation | batch_69f17005c318819090e54bc64d135477 |
completed | April 29, 2026, 2:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f17814de1881908973af026af5d1d1 |
completed | April 29, 2026, 3:16 a.m. |
Created at: April 8, 2026, 9:43 p.m.