Triple
T4614006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ask Media Group |
E100823
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | Ask Jeeves (legacy brand via Ask.com) |
E145688
|
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: Ask Jeeves (legacy brand via Ask.com) | Statement: [Ask Media Group, brand, Ask Jeeves (legacy brand via Ask.com)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ask Jeeves (legacy brand via Ask.com) Context triple: [Ask Media Group, brand, Ask Jeeves (legacy brand via Ask.com)]
-
A.
Ask Jeeves (search engine brand name)
chosen
Ask Jeeves was an early web search engine brand best known for its question‑and‑answer style interface featuring a virtual butler character.
-
B.
Qwant
Qwant is a French privacy-focused search engine that emphasizes user anonymity and does not track or profile its users.
-
C.
DuckDuckGo
DuckDuckGo is a privacy-focused internet search engine that emphasizes not tracking users or personalizing search results based on their data.
-
D.
Bing
Bing is Microsoft's web search engine that provides internet search, image, video, and mapping services.
-
E.
HotBot
HotBot is an early web search engine that gained prominence in the late 1990s for its fast and customizable search capabilities.
- 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_69bd43cf363c819087fd5ab441b4a3f4 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd59c2678c8190ab8f9420e866521d |
completed | March 20, 2026, 2:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be1029dc8c81908ec7d0ddd23428b4 |
completed | March 21, 2026, 3:27 a.m. |
Created at: March 20, 2026, 1:12 p.m.