Triple

T14531237
Position Surface form Disambiguated ID Type / Status
Subject Yahoo! Messenger E340918 entity
Predicate competitor P1375 FINISHED
Object Google Talk E909204 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: Google Talk | Statement: [Yahoo! Messenger, competitor, Google Talk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Google Talk
Context triple: [Yahoo! Messenger, competitor, Google Talk]
  • A. Google Talk chosen
    Google Talk was an instant messaging and voice-over-IP service developed by Google that allowed users to chat and make voice calls over the internet.
  • B. Google Hangouts
    Google Hangouts is a communication platform developed by Google that enables users to send messages and conduct voice and video calls across web and mobile devices.
  • C. Google Chat
    Google Chat is a business-focused messaging platform by Google that supports direct messages, group conversations, and integrated collaboration within the Google Workspace ecosystem.
  • D. Google Buzz
    Google Buzz was a short-lived social networking and microblogging service from Google that integrated with Gmail to let users share updates, links, and media.
  • E. Google Duo
    Google Duo is a high-quality video and voice calling app developed by Google for simple, reliable one-to-one and group communication across mobile and web platforms.
  • 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_69d822dac79c8190a84a073f3cbaced5 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dea052d01c81909c8592c351be6f35 completed April 14, 2026, 8:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a56872c8190a6d2421cb81aeeb1 completed May 8, 2026, 5:53 a.m.
Created at: April 10, 2026, 1:22 a.m.