Triple
T7944238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silver Lake Partners |
E184460
|
entity |
| Predicate | coFoundedBy |
P3263
|
FINISHED |
| Object | Glenn Hutchins |
E184460
|
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: Glenn Hutchins | Statement: [Silver Lake Partners, coFoundedBy, Glenn Hutchins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Glenn Hutchins Context triple: [Silver Lake Partners, coFoundedBy, Glenn Hutchins]
-
A.
Glenn Hutchins
chosen
Glenn Hutchins is an American businessman and investor best known as a co-founder of the private equity firm Silver Lake Partners and a prominent figure in the technology investment sector.
-
B.
Don Martin
Don Martin was a screenwriter known for his work on mid-20th-century American films, including the Western "Arrow in the Dust."
-
C.
Don Martin
Don Martin was an American cartoonist best known for his absurd, slapstick-heavy comics and uniquely stylized characters in Mad magazine.
-
D.
Lennie Niehaus
Lennie Niehaus was an American jazz saxophonist, composer, and longtime film scorer best known for his frequent collaborations with director Clint Eastwood.
-
E.
Lloyd Hubler
Lloyd Hubler is a cinematographer best known for his work on the animated film "Megamind."
- 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_69ca8291c2008190b1b8832c87814bcf |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b0e84448190a7e8e0749776a592 |
completed | March 31, 2026, 3:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe024a7dc8190a8bd11f266ebbc96 |
completed | March 31, 2026, 2:54 p.m. |
Created at: March 30, 2026, 5:09 p.m.