Triple
T29120279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | QT-1 |
E737159
|
entity |
| Predicate | hasFictionalTechnologyContext |
P61798
|
FINISHED |
| Object | positronic robot |
—
|
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: positronic robot | Statement: [QT-1, hasFictionalTechnologyContext, positronic robot]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFictionalTechnologyContext Context triple: [QT-1, hasFictionalTechnologyContext, positronic robot]
-
A.
featuresFictionalTechnology
chosen
Indicates that an entity includes, depicts, or makes use of imagined or speculative technology that does not exist in reality.
-
B.
hasImaginedTechnologyLevel
Indicates that an entity is associated with a specified level of technological advancement as imagined or conceptualized, rather than actually realized.
-
C.
usesTechnologyInStory
Indicates that an entity incorporates or employs a particular technology within the context of a narrative or story.
-
D.
hasFictionalScope
Indicates that something pertains to, applies within, or is limited to a fictional or imagined context rather than real-world scope.
-
E.
hasFictionalFrame
Indicates that one entity is presented or interpreted within the context of a fictional narrative, scenario, or imaginative framework provided by another 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_69f077ed54e08190bb02a744e8121a66 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69fd76d1e5208190a6f26651492d1e3c |
completed | May 8, 2026, 5:38 a.m. |
| PD | Predicate disambiguation | batch_69fd702a226c81908edfda00f4be4130 |
completed | May 8, 2026, 5:10 a.m. |
Created at: April 28, 2026, 11:25 a.m.