Triple
T3626616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Esther Dyson |
E76853
|
entity |
| Predicate | investorIn |
P17330
|
FINISHED |
| Object | Yandex |
E374370
|
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: Yandex | Statement: [Esther Dyson, investorIn, Yandex]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yandex Context triple: [Esther Dyson, investorIn, Yandex]
-
A.
Yandex
chosen
Yandex is a major Russian multinational technology company best known for its internet search engine and wide range of online services.
-
B.
Yandex Zen
Yandex Zen is a personalized content recommendation and news feed platform that delivers articles, videos, and other media based on users’ interests and browsing behavior.
-
C.
Baidu
Baidu is a leading Chinese technology company best known for its dominant search engine and extensive work in artificial intelligence.
-
D.
Yandex Search
Yandex Search is a Russian-developed web search engine that powers Yandex’s ecosystem of online services and tools.
-
E.
Yandex Mail
Yandex Mail is a free email service provided by Russian tech company Yandex, offering web-based and mobile access with features like spam protection, large storage, and integration with other Yandex services.
- 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_69ad85dc03948190b35b7189e4175bcc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc2dc011c8190a6596f4b483fb078 |
completed | March 8, 2026, 6:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b44f12c2608190bd0eb25c9df97ec6 |
completed | March 13, 2026, 5:53 p.m. |
Created at: March 8, 2026, 3:23 p.m.