Triple
T17930271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chris Redd |
E448312
|
entity |
| Predicate | performedIn |
P795
|
FINISHED |
| Object | Kenan |
—
|
NE NERFINISHED |
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: Kenan | Statement: [Chris Redd, performedIn, Kenan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kenan Context triple: [Chris Redd, performedIn, Kenan]
-
A.
Kenan
Kenan is a biblical patriarch listed in the Book of Genesis as part of the early generations descending from Adam.
-
B.
Kenan Kong
Kenan Kong is a Chinese teenager who becomes the superhero New Super-Man in DC Comics after gaining powers similar to Superman.
-
C.
Kenan Thompson
chosen
Kenan Thompson is an American actor and comedian best known as the longest-tenured cast member on "Saturday Night Live" and for his earlier work on Nickelodeon shows like "All That" and "Kenan & Kel."
-
D.
Gil Kenan
Gil Kenan is a British-Israeli film director and screenwriter known for genre films such as the animated feature "Monster House," the fantasy adventure "City of Ember," and co-writing "Ghostbusters: Afterlife."
-
E.
Kenny Marino
Kenny Marino was an American actor best known for his role in the 1981 crime drama film "Prince of the City."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f79d14819095540856928f0e25 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a551e1788190abad0d6a85ec55e1 |
completed | April 19, 2026, 9:50 a.m. |
Created at: April 10, 2026, 10:20 a.m.