Triple
T22566263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paylocity |
E557958
|
entity |
| Predicate | founder |
P104
|
FINISHED |
| Object | Steve Sarowitz |
—
|
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: Steve Sarowitz | Statement: [Paylocity, founder, Steve Sarowitz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steve Sarowitz Context triple: [Paylocity, founder, Steve Sarowitz]
-
A.
Steve Sarowitz
chosen
Steve Sarowitz is an American entrepreneur and philanthropist best known as the founder of the payroll and human capital management software company Paylocity.
-
B.
Sean Blumberg
Sean Blumberg is a character portrayed by Greg Grunberg on the television series "Felicity," where he appears as one of the main character's close friends.
-
C.
Jon Kroll
Jon Kroll is a television producer and showrunner known for his work on various reality and documentary series.
-
D.
Steven Haft
Steven Haft is an American film producer known for his work on movies such as the cult Halloween comedy "Hocus Pocus."
-
E.
Sam Levenson
Sam Levenson was an American humorist, writer, and television host known for his warm, family-centered Jewish humor and popular books such as "Everything But Money."
- 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_69e11e5ae4ac8190b1f503457603d969 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15fa9ebc8819098d74fb41e14bd7e |
completed | April 29, 2026, 1:32 a.m. |
Created at: April 16, 2026, 8:52 p.m.