Triple
T23251192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ProSieben Maxx |
E581733
|
entity |
| Predicate | sportsContent |
P113805
|
FINISHED |
| Object | American football |
—
|
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: American football | Statement: [ProSieben Maxx, sportsContent, American football]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sportsContent Context triple: [ProSieben Maxx, sportsContent, American football]
-
A.
sportFocus
Indicates that one entity has a primary emphasis, specialization, or concentration on a particular sport represented by the other entity.
-
B.
sportEvent
Indicates a relationship where an entity is involved in, associated with, or characterizes a competitive or organized sporting event.
-
C.
sportContested
Indicates that a particular sport is actively played, competed in, or held as an event between participants or teams.
-
D.
sportsAndEntertainmentChannel
chosen
Indicates a channel whose primary content focuses on sports events and entertainment programming.
-
E.
primarySportContent
Indicates that the subject is the main or central piece of sports-related content associated with the object.
- 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_69e24606b17c81908aba1a4911c8a8ba |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f193f7249481909424867e9542d35e |
completed | April 29, 2026, 5:15 a.m. |
| PD | Predicate disambiguation | batch_69effce4d704819092826931d430e8c4 |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 4:10 p.m.