Triple

T825479
Position Surface form Disambiguated ID Type / Status
Subject PyTorch E17843 entity
Predicate developer P73 FINISHED
Object Meta Platforms 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: Meta Platforms | Statement: [PyTorch, developer, Meta Platforms]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Meta Platforms
Context triple: [PyTorch, developer, Meta Platforms]
  • 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. Facebook
    Facebook is a major global social networking platform that allows users to connect, share content, and communicate online.
  • D. 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.
  • E. Alphabet Inc.
    Alphabet Inc. is a multinational technology conglomerate that serves as the holding company for Google and various other businesses in areas such as artificial intelligence, life sciences, and autonomous vehicles.
  • 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_69a4937c9c188190aaa216f6b466f452 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ab7eb0a08190889463edb0e7bd59 completed March 1, 2026, 9:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7a3b6f0a0819086f8789773f8251e completed March 4, 2026, 3:15 a.m.
Created at: March 1, 2026, 7:38 p.m.