Triple
T30650806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mother of the Blues |
E780250
|
entity |
| Predicate | appliesToTimePeriodOfSubject |
P97182
|
FINISHED |
| Object | circa 1900s–1920s career of Ma Rainey |
—
|
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: circa 1900s–1920s career of Ma Rainey | Statement: [Mother of the Blues, appliesToTimePeriodOfSubject, circa 1900s–1920s career of Ma Rainey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appliesToTimePeriodOfSubject Context triple: [Mother of the Blues, appliesToTimePeriodOfSubject, circa 1900s–1920s career of Ma Rainey]
-
A.
meetsInTimePeriod
Indicates that two entities encounter or come together during a specified time period.
-
B.
appearsInTimePeriod
chosen
Indicates that an entity is present, active, or occurs within a specified time period.
-
C.
appliedDuringPeriod
Indicates that an action, condition, or status was in effect throughout a specified time period.
-
D.
refersToPeriod
Indicates that one entity designates, references, or is associated with a specific time period or interval.
-
E.
hasPeriodOf
Indicates that one entity possesses, experiences, or is associated with a specific span or interval of time.
- 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_69f224a5d2b481908a6853cd0138e2d7 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fde49a084081909d99b1e0258169d5 |
completed | May 8, 2026, 1:26 p.m. |
| PD | Predicate disambiguation | batch_69fde1d04bd881909a46ecbbf18dfe59 |
completed | May 8, 2026, 1:14 p.m. |
Created at: April 29, 2026, 8:30 p.m.