Triple
T11621561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beavis |
E275648
|
entity |
| Predicate | hasLaugh |
P14479
|
FINISHED |
| Object | high-pitched giggle |
—
|
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: high-pitched giggle | Statement: [Beavis, hasLaugh, high-pitched giggle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLaugh Context triple: [Beavis, hasLaugh, high-pitched giggle]
-
A.
hasLaughTrack
Indicates that a piece of media includes an added or artificial laughter audio track accompanying its content.
-
B.
hasHumorType
chosen
Indicates that an entity possesses or is characterized by a particular style, category, or type of humor.
-
C.
hasComedyElements
Indicates that something contains humorous or comedic aspects as part of its overall content or style.
-
D.
hasLie
Indicates that an entity is associated with or responsible for a specific lie or false statement.
-
E.
has
Indicates that one entity possesses, owns, contains, or includes another entity as part of its state or composition.
- 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_69d6aaf84b548190ac072e4fb89ae18f |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a1206f1c81908d92024ef71958c0 |
completed | April 10, 2026, 7:05 a.m. |
| PD | Predicate disambiguation | batch_69d85dd6503c819081f9045e9d5c4f3f |
completed | April 10, 2026, 2:17 a.m. |
Created at: April 8, 2026, 9:39 p.m.