Triple
T25938906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen Gayelette |
E653636
|
entity |
| Predicate | enchanted |
P46127
|
FINISHED |
| Object | Golden Cap |
—
|
NE NERFINISHED |
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: Golden Cap | Statement: [Queen Gayelette, enchanted, Golden Cap]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: enchanted Context triple: [Queen Gayelette, enchanted, Golden Cap]
-
A.
enchantedTo
Indicates that one entity has been magically imbued or altered so that it possesses a special effect, property, or behavior caused by another entity.
-
B.
enchantedBy
chosen
Indicates that one entity has cast or holds a magical enchantment over another entity.
-
C.
enchantedAs
Indicates that one entity has been placed under a magical spell or charm by another entity or force.
-
D.
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.
-
E.
enchantable
Indicates that an entity is capable of being affected by or imbued with magical enchantments.
- 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_69e7ab3fd2f881908837305e4ba98011 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6045b07b08190a58fd7e0acda574c |
completed | May 2, 2026, 2:04 p.m. |
| PD | Predicate disambiguation | batch_69f4a10480748190a2e67bd399fc435d |
completed | May 1, 2026, 12:48 p.m. |
Created at: April 22, 2026, 8:40 a.m.