Triple
T14860767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Tour to the East in the Years 1763 and 1764 |
E349480
|
entity |
| Predicate | featuresProtagonistSocialClass |
P33359
|
FINISHED |
| Object | aristocracy |
—
|
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: aristocracy | Statement: [A Tour to the East in the Years 1763 and 1764, featuresProtagonistSocialClass, aristocracy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresProtagonistSocialClass Context triple: [A Tour to the East in the Years 1763 and 1764, featuresProtagonistSocialClass, aristocracy]
-
A.
featuresProtagonistOccupation
Indicates that the work’s main character has a specified occupation or job role.
-
B.
protagonistSocialStatus
chosen
Indicates the social standing or class position held by the story’s main character in relation to others in their society.
-
C.
antagonistSocialClass
Indicates the social class or societal stratum to which the antagonist in a narrative or situation belongs.
-
D.
protagonistCharacteristic
Indicates that a characteristic, trait, or defining quality is attributed to the protagonist in a narrative or scenario.
-
E.
protagonistType
Indicates the role or category that the main character (protagonist) of a story or scenario belongs to.
- 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_69d822ed7e1881909b90fca143ad7e34 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded573cba881908d6d9ac570a64e5f |
completed | April 15, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_69de8c1798c08190b433e9ad21e41a42 |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:54 a.m.