Triple
T7717630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hüsker Dü |
E174926
|
entity |
| Predicate | roleOfGrantHart |
P78317
|
FINISHED |
| Object | drummer and vocalist |
—
|
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: drummer and vocalist | Statement: [Hüsker Dü, roleOfGrantHart, drummer and vocalist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleOfGrantHart Context triple: [Hüsker Dü, roleOfGrantHart, drummer and vocalist]
-
A.
Dan HartRole
Indicates that Dan Hart holds or performs a specific role, position, or function in relation to another entity or context.
-
B.
honorsPerson
Indicates that one entity formally recognizes, respects, or pays tribute to a specific person.
-
C.
honoreeKnownFor
Indicates that an honoree is recognized or celebrated specifically for a particular work, achievement, contribution, or notable attribute.
-
D.
Cornelius Ennis
Indicates a relationship or association involving the entity or name “Cornelius Ennis,” such as authorship, attribution, or participation in an event or context.
-
E.
roleOfBarrettMartin
Indicates that Barrett Martin holds or performs a particular role, function, or position in relation to another entity or context.
- 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_69c6995c463c8190a14458036249d419 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c702ebb7448190ae8d47fe0cbb0907 |
completed | March 27, 2026, 10:21 p.m. |
| PD | Predicate disambiguation | batch_69c701683dec8190be9861e592aa8ce0 |
completed | March 27, 2026, 10:15 p.m. |
| PDg | Predicate description generation | batch_69c702e9a32081909a153190a62af426 |
completed | March 27, 2026, 10:21 p.m. |
Created at: March 27, 2026, 4:05 p.m.