Triple
T9466145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jokes Seth Can’t Tell |
E228274
|
entity |
| Predicate | recurringCharacters |
P83677
|
FINISHED |
| Object | Late Night with Seth Meyers writing staff |
—
|
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: Late Night with Seth Meyers writing staff | Statement: [Jokes Seth Can’t Tell, recurringCharacters, Late Night with Seth Meyers writing staff]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recurringCharacters Context triple: [Jokes Seth Can’t Tell, recurringCharacters, Late Night with Seth Meyers writing staff]
-
A.
associatedCharacters
Indicates that two or more characters are linked or connected through some relationship, involvement, or relevance to each other.
-
B.
hasRecurringProtagonists
Indicates that the same main character or set of main characters appears repeatedly across multiple works or installments in a series.
-
C.
hasRecurringSeriesProtagonists
Indicates that a recurring series features one or more protagonists who appear repeatedly across its installments.
-
D.
featuresCharactersFrom
Indicates that one entity (such as a work or production) includes or presents characters originating from another entity.
-
E.
characters
chosen
Indicates that one entity is a character (or set of characters) associated with, appearing in, or belonging to another entity (such as a work, story, or medium).
- 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_69ca846fee388190a6ec273fd644b88b |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7fdc08f08190ad17de08d2c2eca2 |
completed | April 1, 2026, 8:28 p.m. |
| PD | Predicate disambiguation | batch_69cca55caaa8819089c5138e014892d3 |
completed | April 1, 2026, 4:55 a.m. |
Created at: March 30, 2026, 7:53 p.m.