Triple

T1682697
Position Surface form Disambiguated ID Type / Status
Subject Kevin Systrom E36371 entity
Predicate employer P7 FINISHED
Object Facebook, Inc. 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, Inc. | Statement: [Kevin Systrom, employer, Facebook, Inc.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Facebook, Inc.
Context triple: [Kevin Systrom, employer, Facebook, Inc.]
  • A. 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.
  • 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 chosen
    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_69a886139ed081909af0940aa9313512 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa627ab38081909d5f264ca49e036a completed March 6, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad71bf1998819094d3eb67c6e6bafd completed March 8, 2026, 12:55 p.m.
Created at: March 4, 2026, 7:29 p.m.