Triple
T6404272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Analog Girl in a Digital World |
E144138
|
entity |
| Predicate | relatesToTheme |
P49998
|
FINISHED |
| Object | technology vs. humanity |
—
|
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: technology vs. humanity | Statement: [Analog Girl in a Digital World, relatesToTheme, technology vs. humanity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatesToTheme Context triple: [Analog Girl in a Digital World, relatesToTheme, technology vs. humanity]
-
A.
followsInTheme
Indicates that one element continues or succeeds another while maintaining the same theme or thematic context.
-
B.
majorThemeAssociation
chosen
Indicates that one entity is associated with another as a primary or central theme.
-
C.
followsTheme
Indicates that one entity adheres to, is guided by, or is structured according to the theme established by another entity.
-
D.
inspiredByOrRelatedTo
Indicates that one entity draws inspiration from, is influenced by, or is otherwise thematically or conceptually connected to another entity.
-
E.
notableTheme
Indicates that a particular theme is prominently featured in, or strongly associated with, an entity such as a work, event, or body of content.
- 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_69c008dc56fc81908d43ffcc11d73bdd |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c068b0950c819091169aa1a3be0e88 |
completed | March 22, 2026, 10:09 p.m. |
| PD | Predicate disambiguation | batch_69c060f40ecc8190b1df17b96767675c |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:35 p.m.