Triple
T12203542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sound & Color (song) |
E290773
|
entity |
| Predicate | performerMember |
P22076
|
FINISHED |
| Object | Steve Johnson |
E291913
|
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: Steve Johnson | Statement: [Sound & Color (song), performerMember, Steve Johnson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steve Johnson Context triple: [Sound & Color (song), performerMember, Steve Johnson]
-
A.
Steve Johnson
Steve Johnson is a former American basketball player best known as a dominant center for Oregon State University in the late 1970s and early 1980s and later an NBA veteran.
-
B.
Steve Johnson
chosen
Steve Johnson is the drummer for the American rock band Alabama Shakes.
-
C.
Steve Johnson
Steve Johnson is a musical artist best known as the lead performer of the track "Boys & Girls."
-
D.
Sean Johnson
Sean Johnson is an American professional soccer goalkeeper known for his standout performances in Major League Soccer and for the U.S. national team.
-
E.
Tom Murray
Tom Murray is a music supervisor known for overseeing and coordinating the musical elements of film and television projects.
- 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_69d6ab65923081909acfc61b7a612233 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91c7b97408190a11ea37cc6edf18c |
completed | April 10, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62a8c69308190bffae7b38cc5620b |
completed | May 2, 2026, 4:47 p.m. |
Created at: April 8, 2026, 9:51 p.m.