Triple

T3167518
Position Surface form Disambiguated ID Type / Status
Subject AIM E66246 entity
Predicate competitor P1375 FINISHED
Object ICQ E12432 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: ICQ | Statement: [AIM, competitor, ICQ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ICQ
Context triple: [AIM, competitor, ICQ]
  • A. ICQ chosen
    ICQ is one of the earliest popular internet instant messaging services, widely used in the late 1990s and early 2000s.
  • B. 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.
  • C. 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.
  • D. 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.
  • E. IRC
    IRC (Internet Relay Chat) is a long-standing, text-based communication protocol that enables real-time group and private messaging over the internet via channels and servers.
  • 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_69ad8585d7988190af37365331093ccd completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada6457acc8190b2b9acbd1cfcdb91 completed March 8, 2026, 4:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b262049a38819091efe2a322275abd completed March 12, 2026, 6:49 a.m.
Created at: March 8, 2026, 3:06 p.m.