Triple
T1379293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Code of the Woosters |
E29298
|
entity |
| Predicate | hasHumourType |
P14479
|
FINISHED |
| Object | verbal humour |
—
|
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: verbal humour | Statement: [The Code of the Woosters, hasHumourType, verbal humour]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHumourType Context triple: [The Code of the Woosters, hasHumourType, verbal humour]
-
A.
hasHumorType
chosen
Indicates that an entity possesses or is characterized by a particular style, category, or type of humor.
-
B.
haveType
Indicates that an entity belongs to or is classified under a specified type or category.
-
C.
hasMood
Indicates that an entity is experiencing or characterized by a particular emotional or affective state.
-
D.
hasFestivityType
Indicates that an event or celebration is classified as belonging to a particular type of festivity.
-
E.
hasMythType
Indicates that an entity is associated with or classified under a particular type or category of myth.
- 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_69a498d883a48190bfdca525296ef7ee |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c3187f248190a5813274b0ef944d |
completed | March 1, 2026, 10:52 p.m. |
| PD | Predicate disambiguation | batch_69a4befcabdc8190a9f05d002603f81c |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:59 p.m.