Triple
T36452311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buck Clayton Jam Sessions |
E898042
|
entity |
| Predicate | labelSeriesPosition |
P185519
|
FINISHED |
| Object | important part of Columbia’s 1950s jazz catalog |
—
|
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: important part of Columbia’s 1950s jazz catalog | Statement: [Buck Clayton Jam Sessions, labelSeriesPosition, important part of Columbia’s 1950s jazz catalog]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: labelSeriesPosition Context triple: [Buck Clayton Jam Sessions, labelSeriesPosition, important part of Columbia’s 1950s jazz catalog]
-
A.
labelSeries
Indicates that a label or identifier is assigned to a particular series, linking the label to that series as its designation.
-
B.
chartPosition
Indicates the ranking or placement of an item within an ordered chart or list at a specific point in time.
-
C.
mapLabelPosition
Indicates the spatial or relative placement of a label on or around a map or mapped feature.
-
D.
labelLocation
Indicates that a label or identifier is associated with a specific spatial or geographic location.
-
E.
anchorSeries
Indicates a relationship where one series serves as the primary reference or fixed point for organizing, aligning, or interpreting another series.
- 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_69f76e57f08481908593bd0bc34581c8 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bccf05bc8190b61fdb2b2a315811 |
completed | May 3, 2026, 9:23 p.m. |
| PDg | Predicate description generation | batch_69f7be9b9ab481908328e0e8d8ac73d4 |
completed | May 3, 2026, 9:31 p.m. |
Created at: May 3, 2026, 4:10 p.m.