Triple
T1181836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Verve Records |
E25153
|
entity |
| Predicate | foundedTo |
P935
|
FINISHED |
| Object | showcase Ella Fitzgerald |
—
|
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: showcase Ella Fitzgerald | Statement: [Verve Records, foundedTo, showcase Ella Fitzgerald]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foundedTo Context triple: [Verve Records, foundedTo, showcase Ella Fitzgerald]
-
A.
foundedFor
chosen
Indicates that an entity was established or created specifically to serve, support, or benefit another entity or purpose.
-
B.
foundedBefore
Indicates that one entity was established or created at an earlier time than the other entity.
-
C.
foundedAs
Indicates the original name or form under which an organization, institution, or entity was first established.
-
D.
foundedWith
Indicates that an entity was established or created together with another entity, typically as co-founders or jointly initiated partners.
-
E.
foundedAfter
Indicates that one entity was founded at a later time than another 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_69a494267b4c819088c97a59182bf56a |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd347d4481909e9094463011289d |
completed | March 1, 2026, 10:27 p.m. |
| PD | Predicate disambiguation | batch_69a4bb59ca6c81908597a81646674aaa |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:45 p.m.