Triple
T35068088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cake the Cat |
E1011786
|
entity |
| Predicate | magical |
P183164
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Cake the Cat, magical, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: magical Context triple: [Cake the Cat, magical, true]
-
A.
magicalObject
Indicates that one entity is a magical object associated with, used by, or affecting another entity.
-
B.
typeOfMagic
Indicates that one entity is a specific category, school, or kind of magic associated with another entity.
-
C.
usesMagic
Indicates that an entity performs actions or achieves effects by employing magical powers or supernatural abilities.
-
D.
involvesMagic
Indicates that the related action, event, or relationship includes the use or presence of magical powers, forces, or phenomena.
-
E.
chanted
Indicates that an entity vocalized rhythmic or repetitive words or sounds, often in unison or with a steady cadence, directed toward another entity or in a particular context.
- F. None of above. chosen
Provenance (4 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_69f76dd193108190af2528186f25b72a |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f798387ea481909f51303f53a22e52 |
completed | May 3, 2026, 6:47 p.m. |
| PD | Predicate disambiguation | batch_69f7961550f88190b7bb8a9155458b54 |
completed | May 3, 2026, 6:38 p.m. |
| PDg | Predicate description generation | batch_69f79798663481908d6bc48dd6a94ca6 |
completed | May 3, 2026, 6:44 p.m. |
Created at: May 3, 2026, 4:01 p.m.