Triple
T8494345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Package in Hyperspace |
E201058
|
entity |
| Predicate | hasAuthorStyle |
P27486
|
FINISHED |
| Object | accessible storytelling |
—
|
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: accessible storytelling | Statement: [The Package in Hyperspace, hasAuthorStyle, accessible storytelling]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAuthorStyle Context triple: [The Package in Hyperspace, hasAuthorStyle, accessible storytelling]
-
A.
authorStyle
chosen
Indicates the stylistic characteristics or manner of expression associated with a particular author in their works.
-
B.
hasAuthor
Indicates that an entity is written or created by a specific author.
-
C.
hasStyle
Indicates that an entity possesses, exhibits, or is characterized by a particular style or manner.
-
D.
hasAuthorType
Indicates that an entity is associated with an author characterized by a specific role, category, or type.
-
E.
hasAuthorBackgroundIn
Indicates that an author possesses a particular background, such as education, experience, or expertise, in a specified field or domain.
- 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_69ca831ee390819095fae73400bbfafc |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe57c01f881908cb77c8c834ac08d |
completed | March 31, 2026, 3:17 p.m. |
| PD | Predicate disambiguation | batch_69cbd10a4b0881909e254117780dc823 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:13 p.m.