Triple
T28664335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Last Leaf |
E725547
|
entity |
| Predicate | symbolismOfIvyLeaf |
P107935
|
FINISHED |
| Object | perseverance |
—
|
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: perseverance | Statement: [The Last Leaf, symbolismOfIvyLeaf, perseverance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: symbolismOfIvyLeaf Context triple: [The Last Leaf, symbolismOfIvyLeaf, perseverance]
-
A.
plantSymbolism
Indicates that a plant is associated with a particular symbolic meaning, concept, or value.
-
B.
treeSymbolism
Indicates the use of a tree as a symbolic representation of an idea, quality, or relationship between entities.
-
C.
symbolismIn
chosen
Indicates that one entity functions as a symbol or representation within the context, meaning, or interpretive framework of another entity.
-
D.
oakTreeSymbolizes
Indicates that an oak tree is used as a symbol representing a particular idea, quality, or concept.
-
E.
symbolismFocus
Indicates that the primary emphasis of a work, element, or representation is on its symbolic meaning rather than its literal or functional aspects.
- 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_69f01d85be388190b669a0e401e2f2c4 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f67257b0448190a13011af81c81449 |
completed | May 2, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69f66ec5bf508190ad088b89455252bd |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 28, 2026, 5 a.m.