Triple
T14448006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brave Talk |
E358255
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | Brave Search |
E358254
|
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: Brave Search | Statement: [Brave Talk, relatedTo, Brave Search]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brave Search Context triple: [Brave Talk, relatedTo, Brave Search]
-
A.
Brave Search
chosen
Brave Search is a privacy-focused, independent search engine developed by Brave that emphasizes user anonymity and reduced tracking.
-
B.
DuckDuckGo
DuckDuckGo is a privacy-focused internet search engine that emphasizes not tracking users or personalizing search results based on their data.
-
C.
Qwant
Qwant is a French privacy-focused search engine that emphasizes user anonymity and does not track or profile its users.
-
D.
Bing
Bing is Microsoft's web search engine that provides internet search, image, video, and mapping services.
-
E.
OpenSearch
OpenSearch is an open-source, community-driven search and analytics engine and suite derived from Elasticsearch, used for full-text search, log analytics, and observability at scale.
- 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_69d82794dfa081909b9134ad2e32244b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de9160126c8190a2862a1a3dde1aff |
completed | April 14, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd648d8904819084d720a0fd2ddb4b |
completed | May 8, 2026, 4:20 a.m. |
Created at: April 10, 2026, 1:19 a.m.