Triple
T36360023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doin' Allright |
E895462
|
entity |
| Predicate | instrumentationOfGeorgeTucker |
P186012
|
FINISHED |
| Object | double bass |
—
|
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: double bass | Statement: [Doin' Allright, instrumentationOfGeorgeTucker, double bass]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: instrumentationOfGeorgeTucker Context triple: [Doin' Allright, instrumentationOfGeorgeTucker, double bass]
-
A.
Robert Smith Todd_role
Indicates that Robert Smith Todd holds or held a particular role, position, or function in relation to another entity.
-
B.
instrumentationOfHoraceParlan
Indicates that the subject is the musical instrumentation used in a work or performance associated with Horace Parlan.
-
C.
instrumentationOfSamRivers
Indicates that the subject specifies or describes the musical instruments played or used by Sam Rivers.
-
D.
roleOfJohn C. Stubblefield
Indicates that the specified entity serves in the role or capacity associated with John C. Stubblefield.
-
E.
notableInvestigator
Indicates that one entity is a distinguished or prominently recognized investigator or researcher associated with another entity.
- 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_69f76e5044248190b390d8887dc03254 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c83f5960819089610ed39c839678 |
completed | May 3, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69f7c475c58c8190a883554231e88c88 |
completed | May 3, 2026, 9:56 p.m. |
| PDg | Predicate description generation | batch_69f7c776b4088190bef550c869da530d |
completed | May 3, 2026, 10:08 p.m. |
Created at: May 3, 2026, 4:09 p.m.