Triple
T37208651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bad Trip |
E922237
|
entity |
| Predicate | containsPracticalJokesOn |
P61064
|
FINISHED |
| Object | unsuspecting bystanders |
—
|
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: unsuspecting bystanders | Statement: [Bad Trip, containsPracticalJokesOn, unsuspecting bystanders]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsPracticalJokesOn Context triple: [Bad Trip, containsPracticalJokesOn, unsuspecting bystanders]
-
A.
Prank Encounters
chosen
Indicates a relationship where one party orchestrates a deceptive or surprising prank scenario that another party unexpectedly experiences or becomes the target of.
-
B.
hasComedyElements
Indicates that something contains humorous or comedic aspects as part of its overall content or style.
-
C.
hasEasterEggsFrom
Indicates that something contains or includes hidden features, messages, or surprises that originate from or are created by a specified source.
-
D.
hasMischievousProtagonist
Indicates that the work’s main character habitually engages in playful, naughty, or rule-breaking behavior.
-
E.
entertainsDuring
Indicates that one entity provides entertainment or amusement to another entity specifically during a given time period or event.
- 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_69f76ea4849481909b4a3073efb0114c |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a0186cde2fc819080d7c06503dcc479 |
completed | May 11, 2026, 7:35 a.m. |
| PD | Predicate disambiguation | batch_6a0183ff6d34819080c8ad7c11611a36 |
completed | May 11, 2026, 7:23 a.m. |
Created at: May 3, 2026, 4:15 p.m.