Triple
T37668331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baby Bottleneck |
E937880
|
entity |
| Predicate | usesSlapstickHumor |
P195489
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Baby Bottleneck, usesSlapstickHumor, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesSlapstickHumor Context triple: [Baby Bottleneck, usesSlapstickHumor, yes]
-
A.
featuresSlapstick
chosen
Indicates that the subject includes or prominently uses slapstick-style physical comedy in its content or presentation.
-
B.
usesNonVerbalHumor
Indicates that one entity employs non-verbal forms of humor, such as gestures, expressions, or physical actions, directed toward or involving another entity.
-
C.
hasComedyElements
Indicates that something contains humorous or comedic aspects as part of its overall content or style.
-
D.
usedForHumor
Indicates that something is employed with the intention of being funny, amusing, or comical.
-
E.
usesInComedy
Indicates that something is employed or incorporated as a humorous element within a comedic context or performance.
- 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_69f76ed6df7c8190b018e5baea716ceb |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fddf721c1481909301a0f379368f10 |
completed | May 8, 2026, 1:04 p.m. |
| PD | Predicate disambiguation | batch_69fddda1ae7c8190b5848ff9a9e39826 |
completed | May 8, 2026, 12:57 p.m. |
Created at: May 3, 2026, 4:18 p.m.