Triple
T23275378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Symon Asher Bruce |
E588403
|
entity |
| Predicate | memberOf |
P10
|
FINISHED |
| Object | BBM |
—
|
NE NERFINISHED |
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: BBM | Statement: [John Symon Asher Bruce, memberOf, BBM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BBM Context triple: [John Symon Asher Bruce, memberOf, BBM]
-
A.
BBM
chosen
BBM was a short-lived 1990s British rock supergroup featuring Jack Bruce, Ginger Baker, and Gary Moore.
-
B.
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.
-
C.
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.
-
D.
MMS
MMS is the Massachusetts Medical Society, a professional association representing physicians and medical students in Massachusetts and the publisher of the New England Journal of Medicine.
-
E.
WeChat
WeChat is a Chinese multi-purpose mobile app developed by Tencent that combines messaging, social media, and payment services into a single platform.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e25d148adc819088efbf42672604e9 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f195768b1c8190ae7cbf8c316ae4dd |
completed | April 29, 2026, 5:21 a.m. |
Created at: April 17, 2026, 4:48 p.m.