Triple
T3759091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen of Jazz |
E82118
|
entity |
| Predicate | usedAsMarketingTitleFor |
P24366
|
FINISHED |
| Object | Ella Fitzgerald recordings |
—
|
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: Ella Fitzgerald recordings | Statement: [Queen of Jazz, usedAsMarketingTitleFor, Ella Fitzgerald recordings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedAsMarketingTitleFor Context triple: [Queen of Jazz, usedAsMarketingTitleFor, Ella Fitzgerald recordings]
-
A.
usedAsTitleInFull
Indicates that something functions as a formal title within the complete, official version of a name or designation.
-
B.
usesTitle
Indicates that one entity refers to or addresses another entity using a specific title or formal designation.
-
C.
usedAsTitleBeforeName
Indicates that a term or phrase functions as a formal title placed immediately before a person's name.
-
D.
originalMarketingName
Indicates the original marketing or brand name under which an entity (such as a product or service) was first promoted or sold.
-
E.
marketingNameOf
chosen
Indicates that one entity is the marketing or brand name used to promote or refer to 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_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. |
Created at: March 8, 2026, 3:35 p.m.