Triple
T52870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Evolver |
E1038
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Devo Springsteen |
E5584
|
NE 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: Devo Springsteen | Statement: [Evolver, producer, Devo Springsteen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Devo Springsteen Context triple: [Evolver, producer, Devo Springsteen]
-
A.
Devo Springsteen
chosen
Devo Springsteen is a Grammy-winning American record producer and songwriter known for his work with artists such as John Legend and Kanye West.
-
B.
Dee Dee Ramone
Dee Dee Ramone was the bassist, songwriter, and founding member of the pioneering punk rock band the Ramones.
-
C.
Bob Dylan
Bob Dylan is an influential American singer-songwriter and cultural icon whose poetic lyrics and groundbreaking work in popular music earned him the Nobel Prize in Literature.
-
D.
Billie Joe Armstrong
Billie Joe Armstrong is an American musician best known as the lead vocalist, guitarist, and primary songwriter of the punk rock band Green Day.
-
E.
Max Martini
Max Martini is an American actor known for his tough, military and law-enforcement roles in film and television, including major parts in action and science fiction movies.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a2480baefc81909951b14058479aa2 |
completed | Feb. 28, 2026, 1:42 a.m. |
| NER | Named-entity recognition | batch_69a24ec4d84c81908d85a1e941dbcd19 |
completed | Feb. 28, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a25ab66dd0819081443ebc4702d3b0 |
completed | Feb. 28, 2026, 3:02 a.m. |
Created at: Feb. 28, 2026, 1:47 a.m.