Triple
T528509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AOL Instant Messenger |
E10976
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | AIM |
E66246
|
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: AIM | Statement: [AOL Instant Messenger, alsoKnownAs, AIM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AIM Context triple: [AOL Instant Messenger, alsoKnownAs, AIM]
-
A.
AIM
chosen
AIM is the commonly used acronym for AOL Instant Messenger, a pioneering early internet instant messaging service.
-
B.
AIM alliance
The AIM alliance was a 1990s partnership between Apple, IBM, and Motorola formed to develop and promote the PowerPC microprocessor architecture as an alternative to Intel’s x86.
-
C.
AMA
AMA is the leading professional association and lobbying group representing physicians and medical students in the United States.
-
D.
xAI
xAI is an artificial intelligence company focused on developing advanced AI systems, founded and led by entrepreneur Elon Musk.
-
E.
AEA
AEA is a major professional organization of economists in the United States that publishes leading academic journals and promotes economic research and education.
- 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_69a2e84b16c4819088d284c47c3a7968 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f1d39b4c81909f265b3501b5ec1d |
completed | Feb. 28, 2026, 1:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4b8abbfbc819086148dc95b807e06 |
completed | March 1, 2026, 10:07 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.