Triple
T36254644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Dunes |
E891899
|
entity |
| Predicate | likelyContinuesThemesOf |
P162502
|
FINISHED |
| Object | The Kneeling |
—
|
NE NERFINISHED |
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: The Kneeling | Statement: [The Dunes, likelyContinuesThemesOf, The Kneeling]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: likelyContinuesThemesOf Context triple: [The Dunes, likelyContinuesThemesOf, The Kneeling]
-
A.
followsInTheme
Indicates that one element continues or succeeds another while maintaining the same theme or thematic context.
-
B.
continuesToward
Indicates that an entity maintains its movement or progression in the direction of a specified target or destination.
-
C.
revisitsThemeOf
chosen
Indicates that one work, section, or passage returns to and further explores a theme that was previously introduced elsewhere.
-
D.
hasThematicSimilarityTo
Indicates that two entities share related themes, topics, or conceptual content to a notable degree.
-
E.
continuedBy
Indicates that one entity carries on, extends, or resumes the activity, process, or sequence initiated by another entity.
- 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_69f76e4599108190811532e707d6bc2c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b5fd3f8481908b9380f82a2310f0 |
completed | May 3, 2026, 8:54 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c44390819084fb5558b354658f |
completed | May 3, 2026, 8:49 p.m. |
Created at: May 3, 2026, 4:09 p.m.