Triple
T21272447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brian Singerman |
E524297
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Founders Fund |
—
|
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: Founders Fund | Statement: [Brian Singerman, employer, Founders Fund]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Founders Fund Context triple: [Brian Singerman, employer, Founders Fund]
-
A.
Founders Fund
chosen
Founders Fund is a Silicon Valley venture capital firm known for backing ambitious, transformative technology companies at early and growth stages.
-
B.
Thiel Capital
Thiel Capital is an investment firm and family office managing the personal capital and strategic ventures of billionaire entrepreneur and investor Peter Thiel.
-
C.
Arch Venture Partners
Arch Venture Partners is a prominent venture capital firm known for investing in early-stage life sciences and technology companies.
-
D.
Revolution Ventures
Revolution Ventures is a venture capital firm founded by Steve Case that invests in early-stage, high-growth companies, often outside traditional tech hubs.
-
E.
Thrive Capital
Thrive Capital is a New York–based venture capital firm known for investing in high-growth technology and internet 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_69e0b516293c819089458ea2ec85f85e |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73654ba148190a2eb0a06363cbd0b |
completed | April 21, 2026, 8:33 a.m. |
Created at: April 16, 2026, 4:01 p.m.