Triple
T2555389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bing |
E56719
|
entity |
| Predicate | predecessor |
P97
|
FINISHED |
| Object |
MSN Search
MSN Search was Microsoft's early web search engine that preceded and eventually evolved into Bing.
|
E56719
|
NE FINISHED |
How this triple was built (4 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: MSN Search | Statement: [Bing, predecessor, MSN Search]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MSN Search Context triple: [Bing, predecessor, MSN Search]
-
A.
Infoseek
Infoseek was an early web search engine and internet portal that gained prominence in the mid-1990s before being acquired and integrated into Disney’s online properties.
-
B.
Yahoo! Search
Yahoo! Search is a web search engine developed by Yahoo that was once one of the most popular gateways for finding information on the internet.
-
C.
Bing
Bing is Microsoft's web search engine that provides internet search, image, video, and mapping services.
-
D.
Internet search
Internet search is the process of using specialized software and algorithms to locate relevant information across the World Wide Web based on user queries.
-
E.
Lycos
Lycos is an early web search engine and internet portal that was popular in the 1990s alongside rivals like AltaVista and Yahoo.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: MSN Search Triple: [Bing, predecessor, MSN Search]
Generated description
MSN Search was Microsoft's early web search engine that preceded and eventually evolved into Bing.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MSN Search Target entity description: MSN Search was Microsoft's early web search engine that preceded and eventually evolved into Bing.
-
A.
Infoseek
Infoseek was an early web search engine and internet portal that gained prominence in the mid-1990s before being acquired and integrated into Disney’s online properties.
-
B.
Yahoo! Search
Yahoo! Search is a web search engine developed by Yahoo that was once one of the most popular gateways for finding information on the internet.
-
C.
Bing
chosen
Bing is Microsoft's web search engine that provides internet search, image, video, and mapping services.
-
D.
Internet search
Internet search is the process of using specialized software and algorithms to locate relevant information across the World Wide Web based on user queries.
-
E.
Lycos
Lycos is an early web search engine and internet portal that was popular in the 1990s alongside rivals like AltaVista and Yahoo.
- F. None of above.
Provenance (5 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_69ab4a4bfec081908039988ec4c86e28 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd30eec988190810346bb8b6cb489 |
completed | March 7, 2026, 7:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af5d1ad6b4819097f1d18a12aa2b89 |
completed | March 9, 2026, 11:51 p.m. |
| NEDg | Description generation | batch_69af5dea244c81909bd6bcdba0edf958 |
completed | March 9, 2026, 11:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69af5e66a39c81909a49c272cd595c84 |
completed | March 9, 2026, 11:57 p.m. |
Created at: March 6, 2026, 9:48 p.m.