Triple
T30890229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Golden Goose |
E786877
|
entity |
| Predicate | magicElement |
P160599
|
FINISHED |
| Object | goose with adhesive feathers |
—
|
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: goose with adhesive feathers | Statement: [The Golden Goose, magicElement, goose with adhesive feathers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: magicElement Context triple: [The Golden Goose, magicElement, goose with adhesive feathers]
-
A.
magicalObject
chosen
Indicates that one entity is a magical object associated with, used by, or affecting another entity.
-
B.
magicField
Indicates the presence or influence of a magical force or energy affecting an entity or area.
-
C.
magicStyle
Indicates the manner or type of magic used or expressed in a magical action or relationship.
-
D.
usesMagic
Indicates that an entity performs actions or achieves effects by employing magical powers or supernatural abilities.
-
E.
typeOfMagic
Indicates that one entity is a specific category, school, or kind of magic 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_69f224bbfa7c81908448e0c261c523e3 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69208e9cc8190a88edc0d9cf1449d |
completed | May 3, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69f68b7ec098819080480998038de940 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 29, 2026, 8:49 p.m.