Triple
T31975155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Counterpoint |
E816430
|
entity |
| Predicate | reflectsThematicConcernsOf |
P112066
|
FINISHED |
| Object | James Lee |
—
|
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: James Lee | Statement: [Counterpoint, reflectsThematicConcernsOf, James Lee]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reflectsThematicConcernsOf Context triple: [Counterpoint, reflectsThematicConcernsOf, James Lee]
-
A.
hasThematicConcern
Indicates that one entity (such as a work, text, or discourse) centrally involves, addresses, or focuses on a particular theme, issue, or subject as a primary concern.
-
B.
reflectsCreativeConcernsOf
chosen
Indicates that one entity expresses, embodies, or mirrors the artistic or imaginative preoccupations, themes, or priorities of another entity.
-
C.
subjectOfConcernFor
Indicates that one entity is regarded as a matter of worry, interest, or attention for another entity.
-
D.
reflectsOnTheme
Indicates that one entity critically considers, analyzes, or comments on the theme expressed or embodied by another entity.
-
E.
concernsTheory
Indicates that something is about or relates specifically to a particular theory or set of theoretical concepts.
- 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_69f348f6a3008190bfb59ca695fd68e2 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b49436b0819094e21603054d05d4 |
completed | May 3, 2026, 2:36 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a7bdb481908d16a32f49e38c2c |
completed | May 3, 2026, 2:32 a.m. |
Created at: May 1, 2026, 12:11 a.m.