Triple
T18254927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Napoleon Ta |
E437199
|
entity |
| Predicate | worksAt |
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: [Napoleon Ta, worksAt, Founders Fund]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Founders Fund Context triple: [Napoleon Ta, worksAt, 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.
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.
-
D.
Thrive Capital
Thrive Capital is a New York–based venture capital firm known for investing in high-growth technology and internet companies.
-
E.
Bessemer Venture Partners
Bessemer Venture Partners is a long-established global venture capital firm known for investing in early-stage and growth technology companies across sectors such as cloud, enterprise software, and consumer internet.
- 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_69d8b913351c8190932b6a426de04b41 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4fd84b3a481908bbc1a5e5034d397 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 10:34 a.m.