Triple
T29020681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Homer vs. the Eighteenth Amendment |
E737442
|
entity |
| Predicate | couchGagType |
P165926
|
FINISHED |
| Object | unique gag for this episode |
—
|
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: unique gag for this episode | Statement: [Homer vs. the Eighteenth Amendment, couchGagType, unique gag for this episode]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: couchGagType Context triple: [Homer vs. the Eighteenth Amendment, couchGagType, unique gag for this episode]
-
A.
tagType
Indicates the classification or category assigned to a tag, specifying what kind of tag it is or how it should be interpreted.
-
B.
castType
Indicates the specific kind or category of casting relationship that exists between two entities.
-
C.
gutType
Indicates the type or classification of a digestive tract or gut associated with an entity.
-
D.
entertainmentType
Indicates the kind or category of entertainment associated with an entity or event.
-
E.
theatreType
Indicates the specific category or kind of theatre associated with an entity, such as its format, style, or operational model.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69f65ad638ac8190a17bb987fce53279 |
completed | May 2, 2026, 8:13 p.m. |
Created at: April 28, 2026, 9:49 a.m.