Triple

T2521604
Position Surface form Disambiguated ID Type / Status
Subject MTV2 E55534 entity
Predicate formerName P65 FINISHED
Object M2
M2 was the original name of MTV2, a U.S. cable television channel that focused on music videos and youth-oriented programming.
 E275687 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: M2 | Statement: [MTV2, formerName, M2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: M2
Context triple: [MTV2, formerName, M2]
  • A. M2
    M2 is a boat line that operates as part of Geneva’s public transport network, providing passenger services across the city’s waters.
  • B. M2
    M2 is a major British motorway that connects London with the port town of Dover in Kent, serving as an important route to the Channel ports.
  • C. M2
    M2 is the second line of the Warsaw Metro, running east–west across the city and connecting key districts on both sides of the Vistula River.
  • D. M3
    M3 is a major motorway in the United Kingdom that connects London to Southampton, serving as a key route through southern England.
  • E. M3
    M3 is a boat line that operates as part of Geneva’s public transport network, providing passenger service across the city’s lake or waterways.
  • 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: M2
Triple: [MTV2, formerName, M2]
Generated description
M2 was the original name of MTV2, a U.S. cable television channel that focused on music videos and youth-oriented programming.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: M2
Target entity description: M2 was the original name of MTV2, a U.S. cable television channel that focused on music videos and youth-oriented programming.
  • A. M2
    M2 is a major British motorway that connects London with the port town of Dover in Kent, serving as an important route to the Channel ports.
  • B. M2
    M2 is a boat line that operates as part of Geneva’s public transport network, providing passenger services across the city’s waters.
  • C. M2
    M2 is the second line of the Warsaw Metro, running east–west across the city and connecting key districts on both sides of the Vistula River.
  • D. M3
    M3 is a major motorway in the United Kingdom that connects London to Southampton, serving as a key route through southern England.
  • E. M3
    M3 is a boat line that operates as part of Geneva’s public transport network, providing passenger service across the city’s lake or waterways.
  • 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_69ab49e4749c8190813311efd1630f1b completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd2367b6c819094239dfd12399643 completed March 7, 2026, 7:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69af2ba64390819083ea639eb4c1a1bd completed March 9, 2026, 8:20 p.m.
NEDg Description generation batch_69af516e6e888190bb5eca3f6b134dcd completed March 9, 2026, 11:02 p.m.
NED2 Entity disambiguation (via description) batch_69af5223fa948190a7db252c9fc367a5 completed March 9, 2026, 11:05 p.m.
Created at: March 6, 2026, 9:46 p.m.