Triple
T5006685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lionel Pincus |
E112512
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Warburg Pincus |
E490101
|
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: Warburg Pincus | Statement: [Lionel Pincus, employer, Warburg Pincus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Warburg Pincus Context triple: [Lionel Pincus, employer, Warburg Pincus]
-
A.
Warburg Pincus
chosen
Warburg Pincus is a global private equity firm known for growth investing across a wide range of industries and regions.
-
B.
Permira
Permira is a global private equity firm that invests in and acquires businesses across sectors such as technology, consumer, healthcare, and financial services.
-
C.
The Carlyle Group
The Carlyle Group is a major global private equity and investment firm known for managing large alternative asset portfolios and employing prominent political and financial figures.
-
D.
Bain Capital
Bain Capital is a prominent private investment firm based in Boston, known for its leveraged buyouts, private equity, and alternative asset management activities worldwide.
-
E.
Thoma Bravo
Thoma Bravo is a leading private equity investment firm known for acquiring and growing software and technology companies.
- 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_69bd4433d0b08190877e83959ef40d81 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd72e75db88190bccb30b93638a7a4 |
completed | March 20, 2026, 4:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bec34a07c0819089953ebcbe9cc3ff |
completed | March 21, 2026, 4:11 p.m. |
Created at: March 20, 2026, 1:35 p.m.