Triple
T200147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kubla Khan |
E4085
|
entity |
| Predicate | criticalReputation |
P8082
|
FINISHED |
| Object | one of the most famous poems of English Romanticism |
—
|
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: one of the most famous poems of English Romanticism | Statement: [Kubla Khan, criticalReputation, one of the most famous poems of English Romanticism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: criticalReputation Context triple: [Kubla Khan, criticalReputation, one of the most famous poems of English Romanticism]
-
A.
criticalReception
Indicates how a work, performance, or product is evaluated and responded to by critics or professional reviewers.
-
B.
criticizedFor
Indicates that one entity expresses disapproval or negative judgment of another entity specifically because of a particular action, quality, or outcome.
-
C.
hasCriticism
Indicates that one entity expresses disapproval, objection, or negative evaluation directed toward another entity.
-
D.
majorIssue
Indicates that something is a primary or most significant problem, concern, or obstacle in a given context.
-
E.
posthumousReputation
Indicates the reputation or standing attributed to a person after their death.
- 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_69a254bca59881909a15e1496f1508c7 |
completed | Feb. 28, 2026, 2:36 a.m. |
| NER | Named-entity recognition | batch_69a25bcc6dc88190b8c24b485588dfe4 |
completed | Feb. 28, 2026, 3:06 a.m. |
| PD | Predicate disambiguation | batch_69a25b4886b48190b46fd2244648a098 |
completed | Feb. 28, 2026, 3:04 a.m. |
| PDg | Predicate description generation | batch_69a25bc6ba208190aa8bec59d32f95fd |
completed | Feb. 28, 2026, 3:06 a.m. |
Created at: Feb. 28, 2026, 2:44 a.m.