Triple

T2355382
Position Surface form Disambiguated ID Type / Status
Subject Oleg Znarok E47540 entity
Predicate memberOfSportsTeam P330 FINISHED
Object ASK/Ogre
ASK/Ogre is a Latvian ice hockey club known for competing in the country’s top leagues and developing notable players such as coach and former player Oleg Znarok.
E257200 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: ASK/Ogre | Statement: [Oleg Znarok, memberOfSportsTeam, ASK/Ogre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ASK/Ogre
Context triple: [Oleg Znarok, memberOfSportsTeam, ASK/Ogre]
  • A. OSO
    OSO is the commonly used abbreviation for the Office of SIGINT Operations, a signals intelligence unit within the U.S. National Security Agency.
  • B. OSGG
    OSGG is the acronym for the Office of the Secretary to the Governor General, the federal body that supports Canada’s governor general in carrying out constitutional, ceremonial, and community roles.
  • C. AO
    AO is the commonly used abbreviation for the Administrative Office of the United States Courts, the federal agency that provides administrative support to the U.S. federal judiciary.
  • D. AO
    AO is the vehicle registration code used on license plates for vehicles registered in Italy’s Aosta Valley region.
  • E. AO
    AO is the two-letter ISO 3166-1 alpha-2 country code representing Angola in international standards and systems.
  • 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: ASK/Ogre
Triple: [Oleg Znarok, memberOfSportsTeam, ASK/Ogre]
Generated description
ASK/Ogre is a Latvian ice hockey club known for competing in the country’s top leagues and developing notable players such as coach and former player Oleg Znarok.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ASK/Ogre
Target entity description: ASK/Ogre is a Latvian ice hockey club known for competing in the country’s top leagues and developing notable players such as coach and former player Oleg Znarok.
  • A. OSO
    OSO is the commonly used abbreviation for the Office of SIGINT Operations, a signals intelligence unit within the U.S. National Security Agency.
  • B. OSGG
    OSGG is the acronym for the Office of the Secretary to the Governor General, the federal body that supports Canada’s governor general in carrying out constitutional, ceremonial, and community roles.
  • C. AO
    AO is the two-letter ISO 3166-1 alpha-2 country code representing Angola in international standards and systems.
  • D. AO
    AO is the commonly used abbreviation for the Administrative Office of the United States Courts, the federal agency that provides administrative support to the U.S. federal judiciary.
  • E. AO
    AO is the vehicle registration code used on license plates for vehicles registered in Italy’s Aosta Valley region.
  • 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_69a88a1b678c8190bce986922ba60ce0 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc6fd4e488190b763a1c9b5d18f2c completed March 7, 2026, 6:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae963660108190b58f3288a5b3f96e completed March 9, 2026, 9:43 a.m.
NEDg Description generation batch_69ae96b4b378819094853d3503a3b8b4 completed March 9, 2026, 9:45 a.m.
NED2 Entity disambiguation (via description) batch_69ae970a87a4819094e33d3b6347a9b5 completed March 9, 2026, 9:46 a.m.
Created at: March 4, 2026, 7:54 p.m.