Triple
T31301859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | This Is Why We Can’t Have Nice Things |
E798232
|
entity |
| Predicate | containsLaughter |
P53723
|
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: [This Is Why We Can’t Have Nice Things, containsLaughter, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsLaughter Context triple: [This Is Why We Can’t Have Nice Things, containsLaughter, yes]
-
A.
hasCharacteristicLaugh
Indicates that an entity is associated with a distinctive or notable way of laughing.
-
B.
hasLaughTrack
chosen
Indicates that a piece of media includes an added or artificial laughter audio track accompanying its content.
-
C.
hasHumorFunction
Indicates that something serves a humorous role or purpose, such as eliciting amusement, laughter, or comedic effect.
-
D.
hasComedyElements
Indicates that something contains humorous or comedic aspects as part of its overall content or style.
-
E.
echoesJoyOf
Indicates that one entity reflects, amplifies, or resonates with the joy experienced or expressed by another entity.
- 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_69f224e0bd4c8190aab9b29a73f7aa3c |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69ff691f5ae481908597ce245188d31c |
completed | May 9, 2026, 5:04 p.m. |
| PD | Predicate disambiguation | batch_69ff67ceeeb081909fd00cad166c4b6a |
completed | May 9, 2026, 4:58 p.m. |
Created at: April 29, 2026, 9:14 p.m.