Triple
T109312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AOL |
E2208
|
entity |
| Predicate | acquired |
P2511
|
FINISHED |
| Object |
ICQ
ICQ is one of the earliest popular internet instant messaging services, widely used in the late 1990s and early 2000s.
|
E12432
|
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: ICQ | Statement: [AOL, acquired, ICQ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ICQ Context triple: [AOL, acquired, ICQ]
-
A.
AOL Instant Messenger
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.
IRC
IRC is the commonly used abbreviation for the Internal Revenue Code, the comprehensive body of federal tax laws in the United States.
-
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.
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.
-
E.
SIM
SIM is the commonly used abbreviation for the Science and Industry Museum in Manchester, a major UK museum dedicated to the history and impact of science, technology, and industry.
- 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: ICQ Triple: [AOL, acquired, ICQ]
Generated description
ICQ is one of the earliest popular internet instant messaging services, widely used in the late 1990s and early 2000s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ICQ Target entity description: ICQ is one of the earliest popular internet instant messaging services, widely used in the late 1990s and early 2000s.
-
A.
AOL Instant Messenger
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.
IRC
IRC is the commonly used abbreviation for the Internal Revenue Code, the comprehensive body of federal tax laws in the United States.
-
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.
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.
-
E.
SIM
SIM is the commonly used abbreviation for the Science and Industry Museum in Manchester, a major UK museum dedicated to the history and impact of science, technology, and industry.
- 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_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_69a284fed06c81909df34f4227f26e7d |
completed | Feb. 28, 2026, 6:02 a.m. |
| NEDg | Description generation | batch_69a288901eb48190a733530e6e416f7b |
completed | Feb. 28, 2026, 6:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a28938f67c8190826c5cfeebd9e0f3 |
completed | Feb. 28, 2026, 6:20 a.m. |
Created at: Feb. 28, 2026, 2:20 a.m.