Triple
T6117438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paramount Media Networks |
E136394
|
entity |
| Predicate | operates |
P24
|
FINISHED |
| Object |
Noggin
Noggin is a subscription-based streaming service and brand focused on educational and preschool children’s programming.
|
E568920
|
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: Noggin | Statement: [Paramount Media Networks, operates, Noggin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Noggin Context triple: [Paramount Media Networks, operates, Noggin]
-
A.
Screech
Screech is the bald eagle mascot of Major League Baseball’s Washington Nationals, known for entertaining fans at games and team events.
-
B.
Mushu
Mushu is the small, wisecracking dragon who serves as Mulan’s comedic guardian and loyal companion in Disney’s animated film.
-
C.
Scrappy the Eagle
Scrappy the Eagle is the costumed athletic mascot representing the University of North Texas at its sporting events and campus activities.
-
D.
Pigwidgeon
Pigwidgeon is Ron Weasley's tiny, hyperactive owl in the Harry Potter series, known for his enthusiasm and somewhat annoying exuberance.
-
E.
Digger
Digger was the nickname of Al Cervi, a Hall of Fame American professional basketball player and coach known for his tough, hard-nosed style of play in the early NBA.
- 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: Noggin Triple: [Paramount Media Networks, operates, Noggin]
Generated description
Noggin is a subscription-based streaming service and brand focused on educational and preschool children’s programming.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Noggin Target entity description: Noggin is a subscription-based streaming service and brand focused on educational and preschool children’s programming.
-
A.
Screech
Screech is the bald eagle mascot of Major League Baseball’s Washington Nationals, known for entertaining fans at games and team events.
-
B.
Mushu
Mushu is the small, wisecracking dragon who serves as Mulan’s comedic guardian and loyal companion in Disney’s animated film.
-
C.
Scrappy the Eagle
Scrappy the Eagle is the costumed athletic mascot representing the University of North Texas at its sporting events and campus activities.
-
D.
Pigwidgeon
Pigwidgeon is Ron Weasley's tiny, hyperactive owl in the Harry Potter series, known for his enthusiasm and somewhat annoying exuberance.
-
E.
Digger
Digger was the nickname of Al Cervi, a Hall of Fame American professional basketball player and coach known for his tough, hard-nosed style of play in the early NBA.
- 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_69c0089f851c81909e5e189a617dcff6 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05beb4cfc8190ab67a5338ec59cea |
completed | March 22, 2026, 9:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1256ddb38819095f582b6468db407 |
completed | March 23, 2026, 11:35 a.m. |
| NEDg | Description generation | batch_69c125ede4f88190989a5a40accd2745 |
completed | March 23, 2026, 11:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c1268ffc7481909a9bd2be039dbf45 |
completed | March 23, 2026, 11:40 a.m. |
Created at: March 22, 2026, 4:14 p.m.