Triple
T1924331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Stars, Like Dust |
E40193
|
entity |
| Predicate | hasFictionalTechnology |
P15645
|
FINISHED |
| Object | faster-than-light travel |
—
|
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: faster-than-light travel | Statement: [The Stars, Like Dust, hasFictionalTechnology, faster-than-light travel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFictionalTechnology Context triple: [The Stars, Like Dust, hasFictionalTechnology, faster-than-light travel]
-
A.
hasFictionalUniverseElement
chosen
Indicates that one entity is a component, feature, or constituent part of the fictional universe represented by the other entity.
-
B.
hasFictionalUniverseGenre
Indicates that a fictional universe is associated with a particular genre that characterizes its overall style, themes, or narrative type.
-
C.
hasNotableFictionalBearer
Indicates that an entity is associated with at least one well-known fictional character that bears its name or designation.
-
D.
isTechnical
Indicates that an entity possesses specialized technical knowledge, skills, or characteristics related to technology, engineering, or applied sciences.
-
E.
hasFictionalLocation
Indicates that an entity is associated with, set in, or takes place within a location that exists only in fiction rather than in the real world.
- 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_69a8864298748190a2f2fd34f7ef8d77 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb2359ca0819082b514a34c469b21 |
completed | March 7, 2026, 5:05 a.m. |
| PD | Predicate disambiguation | batch_69abafeec6f881909d47acb966683279 |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:35 p.m.