Triple
T6027561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kapp Records |
E134217
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | David Kapp |
E562961
|
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: David Kapp | Statement: [Kapp Records, namedAfter, David Kapp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Kapp Context triple: [Kapp Records, namedAfter, David Kapp]
-
A.
David Kapp
chosen
David Kapp was an American record executive best known as the founder of the independent label Kapp Records, which was influential in mid-20th-century popular music.
-
B.
Stephen Koepp
Stephen Koepp is an American journalist and editor best known as a longtime senior editor at Time magazine and co-founder of the business news site "From Day One."
-
C.
John Kamps
John Kamps is an American screenwriter best known for co-writing the family science fiction film "Zathura: A Space Adventure."
-
D.
Steve Kirsch
Steve Kirsch is an American entrepreneur and inventor best known for founding multiple technology companies, including the early internet search engine Infoseek.
-
E.
David Kraft
David Kraft is a member of the prominent Kraft family, known for its significant influence in the American food industry and philanthropy.
- 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_69c0087515148190a97475d412563865 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0560e3c2c8190aea2619386fc5538 |
completed | March 22, 2026, 8:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11cefa21081909defda4da9278116 |
completed | March 23, 2026, 10:58 a.m. |
Created at: March 22, 2026, 4:07 p.m.