Triple
T8493396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trantor |
E201028
|
entity |
| Predicate | influenceOnFiction |
P18315
|
FINISHED |
| Object | prototype for later depictions of city-planets |
—
|
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: prototype for later depictions of city-planets | Statement: [Trantor, influenceOnFiction, prototype for later depictions of city-planets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: influenceOnFiction Context triple: [Trantor, influenceOnFiction, prototype for later depictions of city-planets]
-
A.
literaryInfluence
chosen
Indicates that one entity has had a significant impact on the style, themes, or development of another entity’s literary work.
-
B.
fictionalOrigin
Indicates that one entity originates from, or was first introduced within, a fictional work, universe, or narrative created by another entity.
-
C.
fictionalMedium
Indicates that a work of fiction is presented or conveyed through a particular medium or format (such as a book, film, game, or comic).
-
D.
inLiterature
Indicates that a work, concept, or entity is mentioned, discussed, or represented within a piece of literature.
-
E.
fieldOfExpertiseInFiction
Indicates that a fictional character or entity is portrayed as having specialized knowledge, skill, or professional focus in a particular 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_69cbe579b7088190b297b04527e36a2b |
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.