Triple
T2696485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rose of Sharon Joad |
E58521
|
entity |
| Predicate | centralThemeEmbodied |
P6627
|
FINISHED |
| Object | hardship |
—
|
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: hardship | Statement: [Rose of Sharon Joad, centralThemeEmbodied, hardship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: centralThemeEmbodied Context triple: [Rose of Sharon Joad, centralThemeEmbodied, hardship]
-
A.
hasCentralTheme
chosen
Indicates that one entity serves as the primary or dominant theme or subject matter of another entity.
-
B.
centralThemeContribution
Indicates that one entity contributes significantly to shaping, supporting, or expressing the central theme of another entity.
-
C.
primaryBody
Indicates that one entity serves as the main or principal body associated with another entity.
-
D.
thematicArea
Indicates the subject or item is associated with, or falls under, a particular thematic area or topic of focus.
-
E.
embodiedBy
Indicates that an abstract concept, role, or function is physically or concretely realized in a specific 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_69ab4ac269e481909cb317d79e68b75b |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda3112108190a5e49c13368cf83f |
completed | March 7, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69abd81ea5d88190ab5c8f8b8064b931 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:55 p.m.