Triple
T109306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AOL |
E2208
|
entity |
| Predicate | product |
P490
|
FINISHED |
| Object | AOL Instant Messenger |
E10976
|
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: AOL Instant Messenger | Statement: [AOL, product, AOL Instant Messenger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AOL Instant Messenger Context triple: [AOL, product, AOL Instant Messenger]
-
A.
AOL Instant Messenger
chosen
AOL Instant Messenger was a pioneering late-1990s and early-2000s instant messaging service that popularized online chat and status-based communication for mainstream internet users.
-
B.
AOL
AOL is a pioneering American internet and online services company best known for popularizing dial-up access and email in the 1990s and early 2000s.
-
C.
Skype
Skype is a widely used internet-based communication service that enables voice calls, video chats, and instant messaging across computers and mobile devices.
-
D.
IRC
IRC is the commonly used abbreviation for the Internal Revenue Code, the comprehensive body of federal tax laws in the United States.
-
E.
Lotus Notes
Lotus Notes is a collaborative client-server software platform best known for its email, calendaring, and business application capabilities, widely used in enterprises for groupware and workflow solutions.
- 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_69a24fcdaeb48190a2d796677e4b3281 |
completed | Feb. 28, 2026, 2:15 a.m. |
| NER | Named-entity recognition | batch_69a256ccce548190a7b20d999a6c8df1 |
completed | Feb. 28, 2026, 2:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a27c04949481908af8c8426789bc53 |
completed | Feb. 28, 2026, 5:24 a.m. |
Created at: Feb. 28, 2026, 2:20 a.m.