Triple
T7403054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Without the Option |
E170795
|
entity |
| Predicate | protagonistSocialClass |
P33359
|
FINISHED |
| Object | British upper class |
—
|
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: British upper class | Statement: [Without the Option, protagonistSocialClass, British upper class]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: protagonistSocialClass Context triple: [Without the Option, protagonistSocialClass, British upper class]
-
A.
protagonistSocialStatus
chosen
Indicates the social standing or class position held by the story’s main character in relation to others in their society.
-
B.
protagonistType
Indicates the role or category that the main character (protagonist) of a story or scenario belongs to.
-
C.
protagonistEthnicity
Indicates the ethnic background or cultural heritage associated with a work’s main character.
-
D.
dominantSocialClass
Indicates that one social class holds primary power, influence, or status over others within a given social structure or context.
-
E.
protagonistNationality
Indicates the country or national identity to which the protagonist of a work is associated or belongs.
- 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_69c68a6010108190925e5284de022660 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f26ea27c8190a55e0e0314b463d8 |
completed | March 27, 2026, 9:11 p.m. |
| PD | Predicate disambiguation | batch_69c6f0323b2c819098ab72c33e6d8534 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:10 p.m.