Triple
T23344218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul E. Jacobs |
E591812
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Paul E. Jacobs |
—
|
NE NERFINISHED |
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: Paul E. Jacobs | Statement: [Paul E. Jacobs, name, Paul E. Jacobs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul E. Jacobs Context triple: [Paul E. Jacobs, name, Paul E. Jacobs]
-
A.
Paul E. Jacobs
chosen
Paul E. Jacobs is an American engineer and business executive best known for serving as CEO and chairman of Qualcomm, a leading wireless technology company.
-
B.
John Jacobs
John Jacobs is a film and television producer known for developing and overseeing a variety of Hollywood projects.
-
C.
Paul Jacobs
Paul Jacobs was an acclaimed American classical pianist particularly noted for his interpretations of 20th-century music and his long association with contemporary composers.
-
D.
Roger B. Smith
Roger B. Smith was an American business executive best known as the controversial chairman and CEO of General Motors during the 1980s.
-
E.
Charles LaBahn
Charles LaBahn is the namesake benefactor of LaBahn Arena, recognized for his significant support of University of Wisconsin athletics.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e25d20e3d08190bcede87673cafb25 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f198358fb8819094c74cfd53cbab44 |
completed | April 29, 2026, 5:33 a.m. |
Created at: April 17, 2026, 5:19 p.m.