Triple
T27426283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Witold Rowicki |
E690493
|
entity |
| Predicate | workedWithOrchestra |
P5979
|
FINISHED |
| Object | London Symphony Orchestra |
—
|
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: London Symphony Orchestra | Statement: [Witold Rowicki, workedWithOrchestra, London Symphony Orchestra]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workedWithOrchestra Context triple: [Witold Rowicki, workedWithOrchestra, London Symphony Orchestra]
-
A.
performedWithOrchestra
chosen
Indicates that a performance or musical work was carried out in collaboration with an orchestra.
-
B.
isOrchestralWorkBy
Indicates that a particular orchestral work was created or composed by a specified composer or artist.
-
C.
hasSymphonyOrchestra
Indicates that an entity possesses, hosts, or is associated with a symphony orchestra.
-
D.
hasOrchestraType
Indicates that an entity is associated with, or classified by, a specific type or category of orchestra.
-
E.
numberOfOrchestras
Indicates the quantity of orchestras associated with a given entity.
- 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_69ef52003fb48190b0f1295246182a86 |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69f65a6c900881908f18b61273d7bf8d |
completed | May 2, 2026, 8:11 p.m. |
| PD | Predicate disambiguation | batch_69f659ce58408190ba9e007b4810d4d0 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 27, 2026, 12:41 p.m.