Triple
T17802905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scott Scherr |
E444477
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Ultimate Software |
—
|
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: Ultimate Software | Statement: [Scott Scherr, employer, Ultimate Software]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ultimate Software Context triple: [Scott Scherr, employer, Ultimate Software]
-
A.
Ultimate Software
chosen
Ultimate Software was a leading American provider of cloud-based human capital management and payroll software solutions for businesses.
-
B.
Appirio
Appirio is a cloud services and consulting company known for helping enterprises implement and optimize platforms like Salesforce and Workday.
-
C.
Deltek
Deltek is a software company specializing in enterprise resource planning and project-based solutions for government contractors and professional services firms.
-
D.
Atria Software
Atria Software was a software company best known for creating the ClearCase configuration management and version control system later acquired by Rational Software.
-
E.
Procore Technologies
Procore Technologies is a construction management software company that provides cloud-based tools to help construction professionals manage projects, resources, and collaboration.
- 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_69d8b9efe370819095cd219b143ae727 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4880171608190be2088c7a387bfb7 |
completed | April 19, 2026, 7:45 a.m. |
Created at: April 10, 2026, 10:13 a.m.