Triple
T8969397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bill Maris |
E214224
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Google Ventures |
E184184
|
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: Google Ventures | Statement: [Bill Maris, employer, Google Ventures]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Google Ventures Context triple: [Bill Maris, employer, Google Ventures]
-
A.
Google Ventures
chosen
Google Ventures is the venture capital investment arm of Alphabet Inc., focused on funding and supporting early-stage technology and life sciences startups.
-
B.
Khosla Ventures
Khosla Ventures is a Silicon Valley-based venture capital firm known for investing in early-stage, high-risk technology and clean energy startups.
-
C.
Sequoia Capital
Sequoia Capital is a leading Silicon Valley venture capital firm known for early investments in companies like Apple, Google, and Airbnb.
-
D.
Y Combinator
Y Combinator is a prominent Silicon Valley startup accelerator known for funding and mentoring early-stage technology companies such as Airbnb, Dropbox, and Stripe.
-
E.
Andreessen Horowitz
Andreessen Horowitz is a prominent Silicon Valley venture capital firm known for backing leading technology startups across software, fintech, crypto, and other innovation-driven sectors.
- 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_69ca839dbf608190a2f5990477115d29 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6765babc8190a4a3b79aa21047c8 |
completed | April 1, 2026, 12:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc96006e48190978e4ccdedc48b41 |
completed | April 3, 2026, 2:06 p.m. |
Created at: March 30, 2026, 7:01 p.m.