Triple

T15098472
Position Surface form Disambiguated ID Type / Status
Subject BitTorrent E360601 entity
Predicate developer P73 FINISHED
Object BitTorrent Inc. E360601 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: BitTorrent Inc. | Statement: [BitTorrent, developer, BitTorrent Inc.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BitTorrent Inc.
Context triple: [BitTorrent, developer, BitTorrent Inc.]
  • A. BitTorrent chosen
    BitTorrent is a peer-to-peer file sharing protocol that enables efficient distribution of large amounts of data across many users without relying on a central server.
  • B. Kazaa
    Kazaa is a peer-to-peer file-sharing application that became widely known in the early 2000s for enabling users to share music, videos, and other digital media over the internet.
  • C. KTorrent
    KTorrent is a free, open-source BitTorrent client for the KDE desktop environment, offering features like bandwidth control, queue management, and plugin support.
  • D. Gnutella
    Gnutella is a decentralized peer-to-peer file-sharing protocol and network that enabled users to share files directly without relying on a central server.
  • E. Sharman Networks
    Sharman Networks was the company behind the popular early-2000s peer-to-peer file-sharing service Kazaa, central to major legal battles over digital copyright infringement.
  • 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_69d85a035aa88190b52a139d3a1b7b6d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0054f00388190a5123d9f4a869b96 completed April 15, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69feae230d148190a343ac92fb089902 completed May 9, 2026, 3:46 a.m.
Created at: April 10, 2026, 3:04 a.m.