Triple
T29020583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duffless |
E737440
|
entity |
| Predicate | hasBlackboardGag |
P94189
|
FINISHED |
| Object | I will not mock Mrs. Dumbface. |
—
|
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: I will not mock Mrs. Dumbface. | Statement: [Duffless, hasBlackboardGag, I will not mock Mrs. Dumbface.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBlackboardGag Context triple: [Duffless, hasBlackboardGag, I will not mock Mrs. Dumbface.]
-
A.
hasEvaluationGag
Indicates that an entity is subject to a restriction or prohibition on disclosing or sharing evaluations, assessments, or reviews related to it.
-
B.
hasRecurringGag
chosen
Indicates that a particular joke, situation, or comedic element repeatedly appears in relation to an entity (such as a character, series, or work).
-
C.
notableGag
Indicates that something features a particularly memorable or significant joke, comedic moment, or running gag.
-
D.
canIncludeGagOrder
Indicates that a legal order or agreement has the authority to contain a provision restricting parties from publicly disclosing certain information (a gag order).
-
E.
hasAllBlack
Indicates that the subject possesses or consists entirely of things that are black in color.
- 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_69f077ee19f881909af48f9cab00a2e5 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f66004da14819098b0fa2906521298 |
completed | May 2, 2026, 8:35 p.m. |
| PD | Predicate disambiguation | batch_69f659d297cc8190b2b962ba30a1edb3 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 28, 2026, 9:49 a.m.