Triple
T24602134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen of the Blues |
E608854
|
entity |
| Predicate | bestKnownBearer |
P145741
|
FINISHED |
| Object | Koko Taylor |
—
|
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: Koko Taylor | Statement: [Queen of the Blues, bestKnownBearer, Koko Taylor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestKnownBearer Context triple: [Queen of the Blues, bestKnownBearer, Koko Taylor]
-
A.
bestKnownSingle
Indicates that the referenced item is the most prominent or widely recognized single associated with an entity (such as an artist or group).
-
B.
firstBearer
Indicates that the subject is the earliest or original entity to hold, possess, or carry the specified role, title, attribute, or item.
-
C.
bestKnownRepresentative
chosen
Indicates that one entity is regarded as the most prominent or widely recognized example or representative of another entity.
-
D.
notableBearerDescription
Indicates that the subject has a notable bearer, with the object providing a textual description of that bearer’s significance or identity.
-
E.
notableBearerVariantOf
Indicates that one entity is a notable or prominent variant or version of another entity that bears or carries its characteristics.
- 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_69e2c4d060e08190ac9f7c49b1036e20 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6ca751c8190a040c10d701ecf3a |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:31 a.m.