Triple
T29324957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Cage |
E743614
|
entity |
| Predicate | originalNoviceDancer |
P200430
|
FINISHED |
| Object | Nora Kaye |
—
|
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: Nora Kaye | Statement: [The Cage, originalNoviceDancer, Nora Kaye]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalNoviceDancer Context triple: [The Cage, originalNoviceDancer, Nora Kaye]
-
A.
createdOnDancer
Indicates that something was created on or for a dancer, establishing a creation relationship specifically tied to that dancer.
-
B.
learnsToDanceIn
Indicates that an entity is in the process of acquiring or practicing dancing skills within a particular place or context.
-
C.
firstAuroraDancer
Indicates that an entity is the first individual to perform or embody the role of an Aurora Dancer in a given context or sequence.
-
D.
taughtToDanceBy
Indicates that one entity learned to dance through instruction or guidance provided by another entity.
-
E.
danceCreated
Indicates that one entity is the creator or choreographer of a particular dance or dance work.
- 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_69f09125f784819080f4e9fce9fe624f |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69ff8aff48988190a48a440de8238ef9 |
completed | May 9, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69ff8a780404819082f48ceb21e7fe11 |
completed | May 9, 2026, 7:26 p.m. |
| PDg | Predicate description generation | batch_69ff8afe9d5c8190bd5ae434fc2b550b |
completed | May 9, 2026, 7:29 p.m. |
Created at: April 28, 2026, 1:25 p.m.