Triple
T37129811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WABAC machine |
E919485
|
entity |
| Predicate | plotDeviceType |
P171012
|
FINISHED |
| Object | time-travel plot device |
—
|
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: time-travel plot device | Statement: [WABAC machine, plotDeviceType, time-travel plot device]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: plotDeviceType Context triple: [WABAC machine, plotDeviceType, time-travel plot device]
-
A.
testedDeviceType
Indicates that one entity is the type or category of device on which another entity has been tested.
-
B.
storyDeviceType
chosen
Indicates the type or category of narrative device used within a story.
-
C.
portraysDevice
Indicates that one entity visually represents or depicts a device in some medium or context.
-
D.
displayDevice
Indicates that one entity functions as a device used to visually present or output information from another entity.
-
E.
targetedDevice
Indicates that one entity is the specific device toward which another entity’s action, effect, or configuration is directed.
- 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_69f76e9d13e48190a108f7fbf80ff375 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb344c60f8819090f2e21e1e61d621 |
completed | May 6, 2026, 12:30 p.m. |
| PD | Predicate disambiguation | batch_69fb2f642db08190b562725502c74ea6 |
completed | May 6, 2026, 12:09 p.m. |
Created at: May 3, 2026, 4:15 p.m.