Triple
T29148738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slender Man |
E738842
|
entity |
| Predicate | inspiredRealWorldEvent |
P15344
|
FINISHED |
| Object | 2014 Waukesha stabbing |
—
|
NE NERFINISHED |
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: 2014 Waukesha stabbing | Statement: [Slender Man, inspiredRealWorldEvent, 2014 Waukesha stabbing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inspiredRealWorldEvent Context triple: [Slender Man, inspiredRealWorldEvent, 2014 Waukesha stabbing]
-
A.
inspiredEvent
chosen
Indicates that one event served as the motivation, cause, or creative stimulus for another event to occur or be conceived.
-
B.
inspiredByRealEventType
Indicates that an event, action, or situation is based on, derived from, or influenced by an actual real-world occurrence.
-
C.
inspiredRealWorldSport
Indicates that one entity served as the real-world sport that influenced or inspired the creation, design, or concept of another entity.
-
D.
inspiredRealWorldAttraction
Indicates that one entity served as the creative basis or model for a real-world attraction associated with the other entity.
-
E.
inspiredRealWorldProduct
Indicates that one entity served as the creative or conceptual basis that led to the development of a real-world product represented by the other 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_69f07cb46f148190874eb8576a447567 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f6b903538481909cffcb6cc1cc0e70 |
completed | May 3, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69f6b626120c819097c9ad04487570d7 |
completed | May 3, 2026, 2:42 a.m. |
Created at: April 28, 2026, 11:41 a.m.