Triple

T7189291
Position Surface form Disambiguated ID Type / Status
Subject The Facebook Effect E167646 entity
Predicate mainSubject P3 FINISHED
Object Facebook E1582 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: Facebook | Statement: [The Facebook Effect, mainSubject, Facebook]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Facebook
Context triple: [The Facebook Effect, mainSubject, Facebook]
  • A. Facebook chosen
    Facebook is a major global social networking platform that allows users to connect, share content, and communicate online.
  • B. Facebook Portal
    Facebook Portal is a line of smart video-calling devices developed by Meta (formerly Facebook), designed to facilitate hands-free, AI-enhanced communication in the home.
  • C. Meta Platforms, Inc.
    Meta Platforms, Inc. is a major American technology company best known as the parent of Facebook, Instagram, WhatsApp, and other social media and virtual reality products.
  • D. Bebo
    Bebo is a now-defunct social networking website that was especially popular in the mid-2000s for sharing profiles, photos, and messages among friends.
  • E. FB
    FB is the common abbreviation for Fenerbahçe SK, one of Turkey’s most prominent multi-sport clubs best known for its successful football team based in Istanbul.
  • 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_69c6888b5248819090499a884ee3ec39 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e8e3d9188190ba2792098d76fb86 completed March 27, 2026, 8:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7b956ce048190b377dd62f5b5b173 completed March 28, 2026, 11:19 a.m.
Created at: March 27, 2026, 2:50 p.m.