Triple

T13807153
Position Surface form Disambiguated ID Type / Status
Subject Ici ARTV E331788 entity
Predicate formerName P65 FINISHED
Object ARTV
ARTV is a Canadian French-language specialty television channel focused on arts and culture programming.
E1061947 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: ARTV | Statement: [Ici ARTV, formerName, ARTV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ARTV
Context triple: [Ici ARTV, formerName, ARTV]
  • A. ARTs
    ARTs are dual-status civilian and military personnel who provide full-time support to the U.S. Air Force Reserve by maintaining readiness, training, and continuity for reserve units.
  • B. ARTF
    ARTF is Mexico’s federal regulatory agency responsible for overseeing and regulating the country’s railway transportation system.
  • C. ARTB
    ARTB is a U.S. Army training formation responsible for conducting advanced airborne and Ranger courses for soldiers.
  • D. Allart
    Allart is a Dutch given name historically borne by figures such as the 17th-century painter Allart van Everdingen.
  • E. Artěl
    Artěl was a Czech artists' and designers' cooperative active in the early 20th century that promoted modern applied arts and design.
  • 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: ARTV
Triple: [Ici ARTV, formerName, ARTV]
Generated description
ARTV is a Canadian French-language specialty television channel focused on arts and culture programming.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ARTV
Target entity description: ARTV is a Canadian French-language specialty television channel focused on arts and culture programming.
  • A. ARTs
    ARTs are dual-status civilian and military personnel who provide full-time support to the U.S. Air Force Reserve by maintaining readiness, training, and continuity for reserve units.
  • B. ARTF
    ARTF is Mexico’s federal regulatory agency responsible for overseeing and regulating the country’s railway transportation system.
  • C. ARTB
    ARTB is a U.S. Army training formation responsible for conducting advanced airborne and Ranger courses for soldiers.
  • D. Allart
    Allart is a Dutch given name historically borne by figures such as the 17th-century painter Allart van Everdingen.
  • E. Artěl
    Artěl was a Czech artists' and designers' cooperative active in the early 20th century that promoted modern applied arts and design.
  • 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_69d81c59f8808190a851bc56afdc55e9 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de026d98108190acf366a36d97bf92 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b08db39c8190a76637b36b77d643 completed May 3, 2026, 8:31 p.m.
NEDg Description generation batch_69f7b18bbe688190855a26b8f2b4bcc0 completed May 3, 2026, 8:35 p.m.
NED2 Entity disambiguation (via description) batch_69f7b260fc6c8190a573cc525388878e completed May 3, 2026, 8:38 p.m.
Created at: April 9, 2026, 10:12 p.m.