Triple
T3759144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ella and Louis |
E82119
|
entity |
| Predicate | labelSeries |
P50784
|
FINISHED |
| Object | Verve Ella Fitzgerald collaborations |
—
|
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: Verve Ella Fitzgerald collaborations | Statement: [Ella and Louis, labelSeries, Verve Ella Fitzgerald collaborations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: labelSeries Context triple: [Ella and Louis, labelSeries, Verve Ella Fitzgerald collaborations]
-
A.
labelOf
Indicates that one entity serves as the name, tag, or identifying label assigned to another entity.
-
B.
designationSeries
Indicates that one designation belongs to or is part of a broader series of related designations.
-
C.
labelCatalog
Indicates assigning or associating a descriptive label or identifier with a catalog entity or catalog entry.
-
D.
connectorSeries
Indicates that one connector belongs to a specific series or family of related connectors.
-
E.
labelGroup
Indicates that an entity is assigned to or associated with a particular group label used for categorization or organization.
- 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_69ad8b1db40081908b61ffa6b78afd4d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcbc20b20819095fedf803aadc53a |
completed | March 8, 2026, 7:19 p.m. |
| PD | Predicate disambiguation | batch_69adc04c851c8190ae5eaebf36df539b |
completed | March 8, 2026, 6:30 p.m. |
| PDg | Predicate description generation | batch_69adc0fe3e3c8190bd886c7745c172a0 |
completed | March 8, 2026, 6:33 p.m. |
Created at: March 8, 2026, 3:35 p.m.