Triple
T2555388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bing |
E56719
|
entity |
| Predicate | predecessor |
P97
|
FINISHED |
| Object |
Live Search
Live Search was Microsoft's earlier web search engine brand that was later rebranded and replaced by 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: Live Search | Statement: [Bing, predecessor, Live Search]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Live Search Context triple: [Bing, predecessor, Live Search]
-
A.
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.
-
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.
Google Search
Google Search is a widely used web search engine developed by Google that allows users to find information, websites, images, and other content across the internet.
-
D.
Spotlight search
Spotlight search is macOS’s built-in search and indexing feature that lets users quickly find files, apps, and information across their system and the web.
-
E.
Bing
Bing is Microsoft's web search engine that provides internet search, image, video, and mapping services.
- 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: Live Search Triple: [Bing, predecessor, Live Search]
Generated description
Live Search was Microsoft's earlier web search engine brand that was later rebranded and replaced by Bing.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Live Search Target entity description: Live Search was Microsoft's earlier web search engine brand that was later rebranded and replaced by Bing.
-
A.
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.
-
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.
Google Search
Google Search is a widely used web search engine developed by Google that allows users to find information, websites, images, and other content across the internet.
-
D.
Spotlight search
Spotlight search is macOS’s built-in search and indexing feature that lets users quickly find files, apps, and information across their system and the web.
-
E.
Bing
chosen
Bing is Microsoft's web search engine that provides internet search, image, video, and mapping services.
- 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.