Triple

T9181435
Position Surface form Disambiguated ID Type / Status
Subject Nick Clegg E220339 entity
Predicate employer P7 FINISHED
Object Facebook, Inc. E28619 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, Inc. | Statement: [Nick Clegg, employer, Facebook, Inc.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Facebook, Inc.
Context triple: [Nick Clegg, employer, Facebook, Inc.]
  • A. Meta Platforms, Inc. chosen
    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.
  • B. 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.
  • C. DoubleClick Inc.
    DoubleClick Inc. was a pioneering online advertising company best known for its ad-serving technology and data-driven targeting, later acquired by Google to strengthen its digital advertising platform.
  • D. Facebook
    Facebook is a major global social networking platform that allows users to connect, share content, and communicate online.
  • E. Square, Inc.
    Square, Inc. is a financial technology company best known for its mobile payment solutions and point-of-sale systems that enable businesses to accept electronic payments easily.
  • 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_69ca83e589948190ac9907819db11ddf completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccc25379008190b8ca047efe3bb7bb completed April 1, 2026, 6:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05c0eeb0c8190a5a22c662726805c completed April 4, 2026, 12:32 a.m.
Created at: March 30, 2026, 7:23 p.m.