Triple
T17468905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George R. Roberts |
E425351
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | KKR |
—
|
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: KKR | Statement: [George R. Roberts, employer, KKR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KKR Context triple: [George R. Roberts, employer, KKR]
-
A.
KKR
KKR is a popular franchise cricket team in the Indian Premier League based in Kolkata and co-owned by Bollywood actor Shah Rukh Khan.
-
B.
KKR
KKR is a global investment firm best known as a pioneer in private equity and leveraged buyouts.
-
C.
Kohlberg Kravis Roberts & Co.
chosen
Kohlberg Kravis Roberts & Co. is a leading global private equity firm best known for pioneering large leveraged buyouts and shaping the modern buyout industry.
-
D.
KPS Capital Partners
KPS Capital Partners is a private equity firm known for acquiring and restructuring industrial and manufacturing businesses.
-
E.
Roark Capital Group
Roark Capital Group is a private equity firm known for investing in and building large multi-brand restaurant and consumer service companies.
- 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_69d889dbc2e88190b18ea6115e819258 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451aa0e1c81909627369465575c06 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 5:47 a.m.