Triple
T6505380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Screaming Trees |
E149993
|
entity |
| Predicate | roleOfVanConner |
P71259
|
FINISHED |
| Object | bassist |
—
|
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: bassist | Statement: [Screaming Trees, roleOfVanConner, bassist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleOfVanConner Context triple: [Screaming Trees, roleOfVanConner, bassist]
-
A.
transportationRole
Indicates a role or function that an entity has specifically in the context of providing, operating, or supporting transportation.
-
B.
roleInEngine
Indicates the specific function or responsibility an entity has within an engine or engine-like system.
-
C.
roleOfVictorFeldbrill
Indicates the professional role, position, or capacity held by Victor Feldbrill in a given context.
-
D.
formerCoPilotOf
Indicates that one entity previously served as the co-pilot of another entity, but no longer holds that role.
-
E.
roleInvolves
Indicates that a particular role includes or requires participation in a specified activity, responsibility, or function.
- 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_69c687ef291081909d437f035eef1cda |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c69f386aa08190bfc8592a92ec6339 |
completed | March 27, 2026, 3:16 p.m. |
| PD | Predicate disambiguation | batch_69c68ab714908190aa7c2fbf64078e15 |
completed | March 27, 2026, 1:48 p.m. |
| PDg | Predicate description generation | batch_69c69f362ee4819090e8fa48caef7d7d |
completed | March 27, 2026, 3:16 p.m. |
Created at: March 27, 2026, 1:43 p.m.