Triple

T11656811
Position Surface form Disambiguated ID Type / Status
Subject Kazaa E277029 entity
Predicate includedComponent P1393 FINISHED
Object Kazaa Media Desktop E277029 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: Kazaa Media Desktop | Statement: [Kazaa, includedComponent, Kazaa Media Desktop]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kazaa Media Desktop
Context triple: [Kazaa, includedComponent, Kazaa Media Desktop]
  • A. Kazaa chosen
    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.
  • B. KTorrent
    KTorrent is a free, open-source BitTorrent client for the KDE desktop environment, offering features like bandwidth control, queue management, and plugin support.
  • C. BitTorrent
    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.
  • 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. eDonkey2000
    eDonkey2000 was a popular peer-to-peer file-sharing application and network from the early 2000s, known for decentralized distribution of large files such as movies, music, and software.
  • 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_69d6aafbb3c081908a9cdb4ecb8d981d completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a3d0331481909682b2e504e4c9a0 completed April 10, 2026, 7:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef138faf4c81908043c71550048d75 completed April 27, 2026, 7:43 a.m.
Created at: April 8, 2026, 9:39 p.m.