Triple
T6349150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Nick Cannon Show |
E142823
|
entity |
| Predicate | hasNotableGuest |
P10756
|
FINISHED |
| Object | Kel Mitchell |
E582593
|
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: Kel Mitchell | Statement: [The Nick Cannon Show, hasNotableGuest, Kel Mitchell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kel Mitchell Context triple: [The Nick Cannon Show, hasNotableGuest, Kel Mitchell]
-
A.
Kel Mitchell
chosen
Kel Mitchell is an American actor and comedian best known for his work on the Nickelodeon series "All That" and its spin-off "Kenan & Kel."
-
B.
Kelly Preston
Kelly Preston was an American actress known for her roles in popular films such as "Jerry Maguire," "Twins," and "For Love of the Game."
-
C.
Jamie-Lynn Sigler
Jamie-Lynn Sigler is an American actress best known for playing Meadow Soprano on the acclaimed HBO series "The Sopranos."
-
D.
Pat Mitchell
Pat Mitchell is an American media executive, producer, and women’s rights advocate known for leading PBS and the Paley Center for Media and for championing the representation of women in media and leadership.
-
E.
Cara Buono
Cara Buono is an American actress known for her roles in television series such as "Mad Men" and "Stranger Things," as well as various film appearances.
- 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_69c008d6dcbc8190aa1c2f1fd8916b42 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c067bba1988190b51f0a22e4279e1b |
completed | March 22, 2026, 10:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6044fcd288190abdc5746e2904928 |
completed | March 27, 2026, 4:15 a.m. |
Created at: March 22, 2026, 4:31 p.m.