Triple
T12540760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Young Adult Science Fiction and Fantasy |
E299830
|
entity |
| Predicate | emergedAsDistinctCategory |
P105789
|
FINISHED |
| Object | late 20th century |
—
|
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: late 20th century | Statement: [Young Adult Science Fiction and Fantasy, emergedAsDistinctCategory, late 20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: emergedAsDistinctCategory Context triple: [Young Adult Science Fiction and Fantasy, emergedAsDistinctCategory, late 20th century]
-
A.
categoryDistinguishedFrom
Indicates that one category is explicitly distinguished from another, clarifying that they are separate and should not be confused.
-
B.
introducedCategory
Indicates that an entity is responsible for bringing a particular category into use, recognition, or existence within a given context.
-
C.
emergedWith
Indicates that one entity came forth, appeared, or became visible at the same time and in association with another entity.
-
D.
emergedFrom
Indicates that one entity originated, arose, or came forth from another entity or source.
-
E.
emergedInIndustry
Indicates that an entity first appeared, originated, or came into prominence within a specified industry.
- F. None of above. chosen
Provenance (4 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_69d6ada707008190aaec1238117c9379 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95f5507b481908d13cc317b7402f6 |
completed | April 10, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69d9540d7b788190a0d57b098e90e491 |
completed | April 10, 2026, 7:48 p.m. |
| PDg | Predicate description generation | batch_69d95f5148948190946a575d812b329d |
completed | April 10, 2026, 8:36 p.m. |
Created at: April 8, 2026, 9:57 p.m.