Triple
T17332098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fred Wilson |
E420840
|
entity |
| Predicate | coFounded |
P104
|
FINISHED |
| Object | Flatiron Partners |
—
|
NE ONNED1 |
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: Flatiron Partners | Statement: [Fred Wilson, coFounded, Flatiron Partners]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flatiron Partners Context triple: [Fred Wilson, coFounded, Flatiron Partners]
-
A.
Flatiron Partners
chosen
Flatiron Partners was a prominent New York–based venture capital firm active in the 1990s tech and internet boom.
-
B.
Blair Partners
Blair Partners is an architectural firm known for designing the Milton Keynes Theatre in Milton Keynes, England.
-
C.
Guggenheim Partners
Guggenheim Partners is a global financial services firm specializing in investment management, investment banking, and insurance services for institutional and individual clients.
-
D.
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.
-
E.
Berkshire Partners
Berkshire Partners is a Boston-based private equity firm known for investing in and acquiring middle-market companies across a range of industries.
- 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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e439d6870c8190989897aa6beba8ff |
completed | April 19, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a019550d3bc8190bda76e83edc81063 |
finalizing | May 11, 2026, 8:37 a.m. |
Created at: April 10, 2026, 5:43 a.m.