Triple
T22413363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In My Dreams |
E554046
|
entity |
| Predicate | targetPerformerLevel |
P80141
|
FINISHED |
| Object | intermediate to advanced musical theatre singers |
—
|
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: intermediate to advanced musical theatre singers | Statement: [In My Dreams, targetPerformerLevel, intermediate to advanced musical theatre singers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetPerformerLevel Context triple: [In My Dreams, targetPerformerLevel, intermediate to advanced musical theatre singers]
-
A.
targetPerformanceLevel
chosen
Indicates the specific performance standard or level that an entity is expected or required to achieve.
-
B.
teamLevel
Indicates the hierarchical rank or tier at which a team operates within an organization, competition, or structure.
-
C.
intendedPlayerLevel
Indicates the player level for which something (such as content, an item, or a challenge) is designed or meant to be used.
-
D.
trainingLevel
Indicates the degree or stage of training or skill development that an entity has attained.
-
E.
typicalEquipmentLevel
Indicates the usual or standard amount or quality of equipment associated with an entity or situation.
- 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_69e11e4e6ce8819085a1e06d886bf21c |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1594496348190ba25dc0193d092f2 |
completed | April 29, 2026, 1:05 a.m. |
| PD | Predicate disambiguation | batch_69e8989495bc81909d2699fce5992e28 |
completed | April 22, 2026, 9:44 a.m. |
Created at: April 16, 2026, 8:46 p.m.