Triple
T21276600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Final Destination 3 |
E524403
|
entity |
| Predicate | featuresPremonitionOf |
P143476
|
FINISHED |
| Object | roller coaster accident |
—
|
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: roller coaster accident | Statement: [Final Destination 3, featuresPremonitionOf, roller coaster accident]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresPremonitionOf Context triple: [Final Destination 3, featuresPremonitionOf, roller coaster accident]
-
A.
featuresProphet
Indicates that an entity includes, highlights, or prominently presents another entity referred to as "Prophet" as a key feature or component.
-
B.
prophetAmong
Indicates that one entity serves as a prophet within, or in relation to, a particular group, community, or people represented by the other entity.
-
C.
functionInOmens
Indicates that something serves as a function, role, or operative element within the system, practice, or interpretation of omens.
-
D.
featuresMood
Indicates that something includes, presents, or conveys a particular mood or emotional atmosphere.
-
E.
predictedIn
Indicates that something has been forecast, anticipated, or estimated to occur within or as part of a specified context, time, or situation.
- 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_69e0b516293c819089458ea2ec85f85e |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e736577fd48190a0038a6ac5678668 |
completed | April 21, 2026, 8:33 a.m. |
| PD | Predicate disambiguation | batch_69e5f6161dac8190b06009cd180e3ff7 |
completed | April 20, 2026, 9:47 a.m. |
| PDg | Predicate description generation | batch_69e5f9943ed881909ef49045c5bcf6df |
completed | April 20, 2026, 10:01 a.m. |
Created at: April 16, 2026, 4:02 p.m.