Triple

T3777145
Position Surface form Disambiguated ID Type / Status
Subject Kim Kardashian: Hollywood E83333 entity
Predicate distribution P1356 FINISHED
Object Facebook platform 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 platform | Statement: [Kim Kardashian: Hollywood, distribution, Facebook platform]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Facebook platform
Context triple: [Kim Kardashian: Hollywood, distribution, Facebook platform]
  • A. Facebook chosen
    Facebook is a major global social networking platform that allows users to connect, share content, and communicate online.
  • B. 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.
  • C. 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.
  • D. Friendster
    Friendster was one of the earliest major social networking websites, popular in the early 2000s for connecting friends online before eventually declining and shutting down.
  • E. Snap Inc.
    Snap Inc. is an American technology and social media company best known for developing the multimedia messaging app Snapchat and related camera and augmented reality products.
  • 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_69ad8b235e608190b5a2b1d1bfcef50b completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcc5d3dbc8190b6ab118a56acd5a3 completed March 8, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e534a02c8190b8dd76ed965f393f completed March 14, 2026, 4:33 a.m.
Created at: March 8, 2026, 3:36 p.m.