Triple
T3421265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Google Messages |
E72119
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object | Messenger |
E107998
|
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: Messenger | Statement: [Google Messages, formerName, Messenger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Messenger Context triple: [Google Messages, formerName, Messenger]
-
A.
Messenger
chosen
Messenger is Meta's cross-platform messaging application that enables users to send text, voice, and video communications across mobile and web.
-
B.
Mail
Mail is Apple’s built-in email client application for macOS, used to send, receive, and manage email accounts.
-
C.
Messages
Messages is Apple’s built-in messaging app for iOS, iPadOS, and macOS that supports SMS, MMS, and iMessage communication across Apple devices.
-
D.
Media Mail
Media Mail is a discounted U.S. Postal Service shipping option specifically for sending educational materials and media such as books, sound recordings, and DVDs.
-
E.
MSN Messenger
MSN Messenger was a widely used instant messaging client developed by Microsoft that enabled real-time text, voice, and video communication over the internet.
- 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_69ad85ad38e48190b7660c5118a35289 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb950f65481908c4aad15516e7a7c |
completed | March 8, 2026, 6 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b35472881c8190baf90b91daa924ec |
completed | March 13, 2026, 12:04 a.m. |
Created at: March 8, 2026, 3:15 p.m.