Triple

T7462625
Position Surface form Disambiguated ID Type / Status
Subject Modo Hockey E176287 entity
Predicate shortName P43 FINISHED
Object Modo
Modo is a Swedish professional ice hockey club known for developing numerous NHL players and competing in the country’s top leagues.
E666350 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: Modo | Statement: [Modo Hockey, shortName, Modo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Modo
Context triple: [Modo Hockey, shortName, Modo]
  • A. Autodesk 3ds Max
    Autodesk 3ds Max is a professional 3D modeling, animation, and rendering software widely used in game development, film, and architectural visualization.
  • B. Autodesk Maya
    Autodesk Maya is a professional 3D computer graphics application widely used in film, television, and game development for modeling, animation, simulation, and rendering.
  • C. LightWave 3D
    LightWave 3D is a professional 3D modeling, rendering, and animation software package widely used in film, television, and visual effects production.
  • D. Blender
    Blender is a free and open-source 3D creation suite widely used for modeling, animation, rendering, and visual effects in film, games, and design.
  • E. Adobe Substance 3D
    Adobe Substance 3D is a suite of tools for creating, texturing, and rendering 3D assets, widely used in game development, visual effects, and design workflows.
  • 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: Modo
Triple: [Modo Hockey, shortName, Modo]
Generated description
Modo is a Swedish professional ice hockey club known for developing numerous NHL players and competing in the country’s top leagues.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Modo
Target entity description: Modo is a Swedish professional ice hockey club known for developing numerous NHL players and competing in the country’s top leagues.
  • A. Autodesk 3ds Max
    Autodesk 3ds Max is a professional 3D modeling, animation, and rendering software widely used in game development, film, and architectural visualization.
  • B. Autodesk Maya
    Autodesk Maya is a professional 3D computer graphics application widely used in film, television, and game development for modeling, animation, simulation, and rendering.
  • C. LightWave 3D
    LightWave 3D is a professional 3D modeling, rendering, and animation software package widely used in film, television, and visual effects production.
  • D. Blender
    Blender is a free and open-source 3D creation suite widely used for modeling, animation, rendering, and visual effects in film, games, and design.
  • E. Adobe Substance 3D
    Adobe Substance 3D is a suite of tools for creating, texturing, and rendering 3D assets, widely used in game development, visual effects, and design workflows.
  • 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_69c69f21632481908bf83f6c6da897e3 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f3d80ae08190ba383066cf0cb2ce completed March 27, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83464fc48819086f206f4d6b840ab completed March 28, 2026, 8:04 p.m.
NEDg Description generation batch_69c8355f75908190ae3716f9dbff27ef completed March 28, 2026, 8:09 p.m.
NED2 Entity disambiguation (via description) batch_69c83621b32c8190bd4b289b5f9f1764 completed March 28, 2026, 8:12 p.m.
Created at: March 27, 2026, 3:39 p.m.