Triple

T8340456
Position Surface form Disambiguated ID Type / Status
Subject Brody Sutter E195895 entity
Predicate playedInLeague P2209 FINISHED
Object EBEL
EBEL is a professional ice hockey league based primarily in Austria that has included teams from several Central European countries.
 E728533 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: EBEL | Statement: [Brody Sutter, playedInLeague, EBEL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: EBEL
Context triple: [Brody Sutter, playedInLeague, EBEL]
  • A. Skagen
    Skagen is a minimalist Danish-inspired watch and accessories brand known for its clean design aesthetic and modern, affordable timepieces.
  • B. Skagen
    Skagen is Denmark’s northernmost town, renowned for its picturesque fishing harbor, distinctive yellow houses, and the scenic meeting point of the North Sea and Baltic Sea.
  • C. Tissot
    Tissot is a Swiss watchmaker renowned for its affordable yet high-quality timepieces and long heritage in traditional and sports-oriented horology.
  • D. Bata
    Bata is a major port city on the mainland of Equatorial Guinea, serving as a key economic and transportation hub for the country.
  • E. Swatch
    Swatch is a Swiss watchmaker best known for its colorful, affordable fashion watches that helped revitalize the Swiss watch industry in the 1980s.
  • 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: EBEL
Triple: [Brody Sutter, playedInLeague, EBEL]
Generated description
EBEL is a professional ice hockey league based primarily in Austria that has included teams from several Central European countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: EBEL
Target entity description: EBEL is a professional ice hockey league based primarily in Austria that has included teams from several Central European countries.
  • A. Skagen
    Skagen is a minimalist Danish-inspired watch and accessories brand known for its clean design aesthetic and modern, affordable timepieces.
  • B. Skagen
    Skagen is Denmark’s northernmost town, renowned for its picturesque fishing harbor, distinctive yellow houses, and the scenic meeting point of the North Sea and Baltic Sea.
  • C. Tissot
    Tissot is a Swiss watchmaker renowned for its affordable yet high-quality timepieces and long heritage in traditional and sports-oriented horology.
  • D. Bata
    Bata is a major port city on the mainland of Equatorial Guinea, serving as a key economic and transportation hub for the country.
  • E. Swatch
    Swatch is a Swiss watchmaker best known for its colorful, affordable fashion watches that helped revitalize the Swiss watch industry in the 1980s.
  • 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_69ca82ecbdc481908a55cad8ca062d88 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7fe8989481909b32d4bfd586372d completed March 31, 2026, 8:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc7237aa0819092b3679a318223ba completed April 2, 2026, 1:32 a.m.
NEDg Description generation batch_69cdcc8596888190867bb0f298b6fac1 completed April 2, 2026, 1:55 a.m.
NED2 Entity disambiguation (via description) batch_69cdd14de9408190a5522fbdbef4d748 completed April 2, 2026, 2:15 a.m.
Created at: March 30, 2026, 5:57 p.m.