Triple
T15585290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uri Levine |
E374604
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object | co-founding Waze |
E72080
|
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: co-founding Waze | Statement: [Uri Levine, knownFor, co-founding Waze]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: co-founding Waze Context triple: [Uri Levine, knownFor, co-founding Waze]
-
A.
Waymo
Waymo is an autonomous driving technology company, originally a Google self-driving car project, that develops and operates self-driving vehicles and robotaxi services.
-
B.
Chad Hurley
Chad Hurley is an American entrepreneur and technologist best known as a co-founder and former CEO of the video-sharing platform YouTube.
-
C.
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.
-
D.
Waze
chosen
Waze is a community-driven GPS navigation app that provides real-time traffic updates, route guidance, and incident reports from its users.
-
E.
Mohr Davidow Ventures
Mohr Davidow Ventures is a Silicon Valley-based venture capital firm known for investing in early-stage technology and life sciences startups.
- 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e4900408190aadb48b001db4169 |
completed | April 16, 2026, 2:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4c4f71e48190a15eb0a2138f083f |
completed | May 9, 2026, 3:01 p.m. |
Created at: April 10, 2026, 4:11 a.m.