Triple
T22008601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Feng Wanyu |
E543514
|
entity |
| Predicate | majorThemeEmbodied |
P81245
|
FINISHED |
| Object | enduring love |
—
|
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: enduring love | Statement: [Feng Wanyu, majorThemeEmbodied, enduring love]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorThemeEmbodied Context triple: [Feng Wanyu, majorThemeEmbodied, enduring love]
-
A.
creativePhilosophyEmbodied
Indicates that an entity’s creative work or practice concretely expresses, manifests, or gives living form to a particular philosophy or set of guiding ideas.
-
B.
thematicConcept
chosen
Indicates that one entity embodies, expresses, or is centrally concerned with a particular underlying theme or conceptual idea represented by the other entity.
-
C.
majorThemeAssociation
Indicates that one entity is associated with another as a primary or central theme.
-
D.
embodiedBy
Indicates that an abstract concept, role, or function is physically or concretely realized in a specific entity.
-
E.
primaryMotif
Indicates that one entity serves as the main recurring theme or dominant motif associated with 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_69e11e2db934819095556760c7d85e4d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127a2aebc8190951ee0bf9fd8e16d |
completed | April 28, 2026, 9:33 p.m. |
| PD | Predicate disambiguation | batch_69e6f62dc9d88190ae387f145f9528de |
completed | April 21, 2026, 3:59 a.m. |
Created at: April 16, 2026, 8:21 p.m.