Triple
T6379263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jack Bruce |
E143539
|
entity |
| Predicate | memberOf |
P10
|
FINISHED |
| Object |
BBM
BBM was a short-lived 1990s British rock supergroup featuring Jack Bruce, Ginger Baker, and Gary Moore.
|
E588406
|
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: BBM | Statement: [Jack Bruce, memberOf, BBM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BBM Context triple: [Jack Bruce, memberOf, BBM]
-
A.
BlackBerry Messenger
BlackBerry Messenger was a proprietary instant messaging service for BlackBerry devices that became widely popular for its secure, real-time chat and push notifications before the rise of modern smartphone messaging apps.
-
B.
MMS
MMS (Multimedia Messaging Service) is a mobile messaging standard that allows users to send multimedia content such as images, audio, and video between mobile devices.
-
C.
WeChat
WeChat is a Chinese multi-purpose mobile app developed by Tencent that combines messaging, social media, and payment services into a single platform.
-
D.
Yahoo! Messenger
Yahoo! Messenger was a popular instant messaging client and service from Yahoo that enabled real-time text, voice, and video communication, widely used in the late 1990s and 2000s.
-
E.
UBB
UBB is a Chilean public university known for its focus on regional development, engineering, architecture, and applied research.
- 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: BBM Triple: [Jack Bruce, memberOf, BBM]
Generated description
BBM was a short-lived 1990s British rock supergroup featuring Jack Bruce, Ginger Baker, and Gary Moore.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BBM Target entity description: BBM was a short-lived 1990s British rock supergroup featuring Jack Bruce, Ginger Baker, and Gary Moore.
-
A.
BlackBerry Messenger
BlackBerry Messenger was a proprietary instant messaging service for BlackBerry devices that became widely popular for its secure, real-time chat and push notifications before the rise of modern smartphone messaging apps.
-
B.
MMS
MMS (Multimedia Messaging Service) is a mobile messaging standard that allows users to send multimedia content such as images, audio, and video between mobile devices.
-
C.
WeChat
WeChat is a Chinese multi-purpose mobile app developed by Tencent that combines messaging, social media, and payment services into a single platform.
-
D.
Yahoo! Messenger
Yahoo! Messenger was a popular instant messaging client and service from Yahoo that enabled real-time text, voice, and video communication, widely used in the late 1990s and 2000s.
-
E.
UBB
UBB is a Chilean public university known for its focus on regional development, engineering, architecture, and applied research.
- F. None of above. chosen
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_69c008d9f4348190ab598a2913259a1c |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0685029488190911fb24c470b6f0d |
completed | March 22, 2026, 10:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c62da95aac81909e5e6d310168a5f6 |
completed | March 27, 2026, 7:11 a.m. |
| NEDg | Description generation | batch_69c62e318ac48190bf604e265c185fad |
completed | March 27, 2026, 7:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c62ee892208190b3b005a9bd41b744 |
completed | March 27, 2026, 7:16 a.m. |
Created at: March 22, 2026, 4:33 p.m.