Triple

T15098518
Position Surface form Disambiguated ID Type / Status
Subject BitTorrent E360601 entity
Predicate notableClient P7186 FINISHED
Object Vuze
Vuze is a feature-rich BitTorrent client known for its advanced download management, media playback, and integrated search capabilities.
E1136832 NE FINISHED

How this triple was built (4 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: Vuze | Statement: [BitTorrent, notableClient, Vuze]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vuze
Context triple: [BitTorrent, notableClient, Vuze]
  • A. Zau
    Zau is an ancient city, historically known as Sais, that served as an important religious and political center in Egypt’s Nile Delta.
  • B. Vabis
    Vabis was a Swedish automotive and engineering company that later merged to form Scania-Vabis, a predecessor of the modern Scania AB.
  • C. Veltro
    Veltro is the nickname of the Macchi C.205, an Italian World War II fighter aircraft renowned for its speed and agility.
  • D. Vuvalini
    The Vuvalini are a matriarchal tribe of seasoned warrior women and survivalists in the Mad Max: Fury Road universe, known for their resilience and combat prowess in the post-apocalyptic wasteland.
  • E. Veniste
    Veniste is a component or subdivision associated with Ben-Veniste, likely representing a related name, branch, or derivative entity.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Vuze
Triple: [BitTorrent, notableClient, Vuze]
Generated description
Vuze is a feature-rich BitTorrent client known for its advanced download management, media playback, and integrated search capabilities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Vuze
Target entity description: Vuze is a feature-rich BitTorrent client known for its advanced download management, media playback, and integrated search capabilities.
  • A. Zau
    Zau is an ancient city, historically known as Sais, that served as an important religious and political center in Egypt’s Nile Delta.
  • B. Vabis
    Vabis was a Swedish automotive and engineering company that later merged to form Scania-Vabis, a predecessor of the modern Scania AB.
  • C. Veltro
    Veltro is the nickname of the Macchi C.205, an Italian World War II fighter aircraft renowned for its speed and agility.
  • D. Vuvalini
    The Vuvalini are a matriarchal tribe of seasoned warrior women and survivalists in the Mad Max: Fury Road universe, known for their resilience and combat prowess in the post-apocalyptic wasteland.
  • E. Veniste
    Veniste is a component or subdivision associated with Ben-Veniste, likely representing a related name, branch, or derivative entity.
  • F. None of above. chosen

Provenance (5 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.
NEDg Description generation batch_69feb0551a508190802f4073fa5ae4b4 completed May 9, 2026, 3:56 a.m.
NED2 Entity disambiguation (via description) batch_69feb11fa1b081909243679603194b0b completed May 9, 2026, 3:59 a.m.
Created at: April 10, 2026, 3:04 a.m.