Triple
T12325520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thoma Bravo |
E293819
|
entity |
| Predicate | acquired |
P2511
|
FINISHED |
| Object |
Deltek
Deltek is a software company specializing in enterprise resource planning and project-based solutions for government contractors and professional services firms.
|
E975149
|
NE FINISHED |
How this triple was built (4 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: Deltek | Statement: [Thoma Bravo, acquired, Deltek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deltek Context triple: [Thoma Bravo, acquired, Deltek]
-
A.
Ultimate Software
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.
Rockwell Software
Rockwell Software is a business unit of Rockwell Automation that develops industrial automation and manufacturing execution system (MES) software solutions.
-
D.
Wyatt Software
Wyatt Software was a software company known for employing pioneering programmer Ward Cunningham early in his career.
-
E.
CompuPro
CompuPro was a prominent manufacturer of S-100 bus–based microcomputer systems during the early personal computing era.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Deltek Triple: [Thoma Bravo, acquired, Deltek]
Generated description
Deltek is a software company specializing in enterprise resource planning and project-based solutions for government contractors and professional services firms.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Deltek Target entity description: Deltek is a software company specializing in enterprise resource planning and project-based solutions for government contractors and professional services firms.
-
A.
Ultimate Software
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.
Rockwell Software
Rockwell Software is a business unit of Rockwell Automation that develops industrial automation and manufacturing execution system (MES) software solutions.
-
D.
Wyatt Software
Wyatt Software was a software company known for employing pioneering programmer Ward Cunningham early in his career.
-
E.
CompuPro
CompuPro was a prominent manufacturer of S-100 bus–based microcomputer systems during the early personal computing era.
- F. None of above. chosen
Provenance (5 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f4e7e588190b37e2413bc649198 |
completed | April 10, 2026, 6:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e8d27288190bdf32acd600141db |
completed | May 2, 2026, 3:55 p.m. |
| NEDg | Description generation | batch_69f61f9493d081909a543bcafeb508d1 |
completed | May 2, 2026, 4 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f620ad9ec0819099909142fbad6412 |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 8, 2026, 9:53 p.m.