Triple
T295763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Connecticut Yankee in King Arthur's Court |
E6088
|
entity |
| Predicate | criticizesWork |
P3619
|
FINISHED |
| Object | Arthurian romance tradition |
—
|
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: Arthurian romance tradition | Statement: [A Connecticut Yankee in King Arthur's Court, criticizesWork, Arthurian romance tradition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: criticizesWork Context triple: [A Connecticut Yankee in King Arthur's Court, criticizesWork, Arthurian romance tradition]
-
A.
criticizedFor
Indicates that one entity expresses disapproval or negative judgment of another entity specifically because of a particular action, quality, or outcome.
-
B.
hasCriticism
chosen
Indicates that one entity expresses disapproval, objection, or negative evaluation directed toward another entity.
-
C.
criticalReception
Indicates how a work, performance, or product is evaluated and responded to by critics or professional reviewers.
-
D.
subjectOfWork
Indicates that one entity is the main topic, focus, or theme that a particular work (such as a book, article, or artwork) is about.
-
E.
shortcomings
Indicates that an entity has flaws, deficiencies, or limitations in its qualities, performance, or behavior.
- 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_69a2e79114b081909490b3bf5a5dbb51 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2e9e273f88190ac5355d1310376ed |
completed | Feb. 28, 2026, 1:13 p.m. |
| PD | Predicate disambiguation | batch_69a2e9368894819093eeae4347dfcc5a |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:06 p.m.