Triple
T9795421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Kind of Stopwatch |
E237704
|
entity |
| Predicate | featuresFictionalObject |
P61798
|
FINISHED |
| Object | magical stopwatch that can freeze time |
—
|
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: magical stopwatch that can freeze time | Statement: [A Kind of Stopwatch, featuresFictionalObject, magical stopwatch that can freeze time]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresFictionalObject Context triple: [A Kind of Stopwatch, featuresFictionalObject, magical stopwatch that can freeze time]
-
A.
featuresFictionalTechnology
chosen
Indicates that an entity includes, depicts, or makes use of imagined or speculative technology that does not exist in reality.
-
B.
featuresFictionalProgram
Indicates that a work includes or presents a fictional program (such as a TV show, software, or in-universe broadcast) as part of its content.
-
C.
fictionalObject
Indicates that one entity is a fictional or imaginary object in relation to another entity.
-
D.
featuresMythicalObject
Indicates that something includes, presents, or prominently involves a mythical or legendary object.
-
E.
featuresReturnOf
Indicates that something (such as a work, event, or product) includes or highlights the comeback or reappearance of a person, character, element, or feature.
- 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_69ca84dc04488190b9c91193976c0960 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda34916dc8190acef2ba003e56a33 |
completed | April 1, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69cd03da45a88190b71b1be3354c15a6 |
completed | April 1, 2026, 11:39 a.m. |
Created at: March 30, 2026, 8:28 p.m.