Triple
T27048833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Music for Wilderness Lake |
E684709
|
entity |
| Predicate | firstPerformerType |
P20624
|
FINISHED |
| Object | trombonist |
—
|
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: trombonist | Statement: [Music for Wilderness Lake, firstPerformerType, trombonist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstPerformerType Context triple: [Music for Wilderness Lake, firstPerformerType, trombonist]
-
A.
performerType
chosen
Indicates the role or category of performer responsible for carrying out an action or participating in an event.
-
B.
firstPerformerDiscipline
Indicates the artistic or athletic discipline in which the first performer is engaged.
-
C.
firstPopularPerformer
Indicates that the subject is the earliest performer to achieve notable popularity in a given context or domain.
-
D.
firstPerformerPiano
Indicates that the referenced entity is the first (primary or earliest) performer on the piano in a given performance or musical context.
-
E.
typicalPerformerRoleType
Indicates the usual or characteristic role type that a performer commonly plays or is associated with in their performances.
- 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_69ef148193c48190bb1a0cfae6a407c4 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69fee25dbca481909e6f1c255122b3a8 |
completed | May 9, 2026, 7:29 a.m. |
| PD | Predicate disambiguation | batch_69fee1c8915c8190b08b63e42881f1a9 |
completed | May 9, 2026, 7:27 a.m. |
Created at: April 27, 2026, 8:12 a.m.