Triple
T12317422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Canary for One |
E293636
|
entity |
| Predicate | symbolismOfCanary |
P41568
|
FINISHED |
| Object | confinement |
—
|
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: confinement | Statement: [A Canary for One, symbolismOfCanary, confinement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: symbolismOfCanary Context triple: [A Canary for One, symbolismOfCanary, confinement]
-
A.
featherCountSymbolizes
Indicates that the number of feathers associated with an entity represents or stands for some other property, status, or concept related to that entity.
-
B.
shapeSymbolism
Indicates how a particular shape is associated with or conveys symbolic meaning within a given context.
-
C.
symbolismOfWhite
Indicates the relationship in which the color white functions as a symbol conveying particular meanings, themes, or abstract concepts in a given context.
-
D.
starColorSymbolism
Indicates how the color of a star is associated with particular symbolic meanings or themes.
-
E.
animalSymbol
chosen
Indicates that one entity serves as a symbolic representation or emblem of the other in the form of an animal.
- 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_69d6ab6a2b50819082f6aedd32ed608a |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f621570819091ee1db2609233ea |
completed | April 10, 2026, 6:20 p.m. |
| PD | Predicate disambiguation | batch_69d93ec5be788190b82d2edc6a0f1095 |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:53 p.m.