Triple
T38551859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jokey Smurf |
E925131
|
entity |
| Predicate | typicalOutcomeOfPranks |
P206525
|
FINISHED |
| Object | Box explodes in recipient's face |
—
|
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: Box explodes in recipient's face | Statement: [Jokey Smurf, typicalOutcomeOfPranks, Box explodes in recipient's face]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalOutcomeOfPranks Context triple: [Jokey Smurf, typicalOutcomeOfPranks, Box explodes in recipient's face]
-
A.
Prank Encounters
Indicates a relationship where one party orchestrates a deceptive or surprising prank scenario that another party unexpectedly experiences or becomes the target of.
-
B.
notablePrankTarget
Indicates that the subject is a well-known or frequent target of pranks carried out by the object.
-
C.
typicalPremise
Indicates that one situation or statement is a common or characteristic premise that typically leads to, supports, or underlies another situation or conclusion.
-
D.
commonOutcomeFor
Indicates that multiple entities share the same resulting state, effect, or consequence.
-
E.
tricked
Indicates that one entity intentionally deceived another into believing something false or acting under a false impression.
- F. None of above. chosen
Provenance (4 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_69f76eaeb69c8190b367df9330d6f6af |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037cae084081909004d77514c5f286 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a1e32108190897356d6a7fed879 |
completed | May 12, 2026, 7:06 p.m. |
| PDg | Predicate description generation | batch_6a037c85e308819083dd67b96f457659 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:32 p.m.