Triple

T6158705
Position Surface form Disambiguated ID Type / Status
Subject George Medal E137386 entity
Predicate postNominalLetters P1600 FINISHED
Object GM
GM is the post-nominal abbreviation used to denote recipients of the George Medal, a British civilian decoration for bravery.
 E573469 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: GM | Statement: [George Medal, postNominalLetters, GM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GM
Context triple: [George Medal, postNominalLetters, GM]
  • A. GE
    GE is the ISO 3166-1 alpha-2 country code for Georgia, a nation at the crossroads of Eastern Europe and Western Asia.
  • B. GE
    GE is the Swiss canton code for Geneva, a major city and canton in western Switzerland known for its international organizations and financial center.
  • C. GMC
    GMC is an American automotive marque of General Motors known for its trucks, SUVs, and commercial vehicles.
  • D. GMC
    GMC is the abbreviation for the Common Market Group, the executive body responsible for coordinating and implementing policies within the Mercosur regional trade bloc.
  • E. GMC
    GMC is the independent regulatory body that oversees medical education and professional standards for doctors in the United Kingdom.
  • 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: GM
Triple: [George Medal, postNominalLetters, GM]
Generated description
GM is the post-nominal abbreviation used to denote recipients of the George Medal, a British civilian decoration for bravery.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GM
Target entity description: GM is the post-nominal abbreviation used to denote recipients of the George Medal, a British civilian decoration for bravery.
  • A. GE
    GE is the ISO 3166-1 alpha-2 country code for Georgia, a nation at the crossroads of Eastern Europe and Western Asia.
  • B. GE
    GE is the Swiss canton code for Geneva, a major city and canton in western Switzerland known for its international organizations and financial center.
  • C. GMC
    GMC is an American automotive marque of General Motors known for its trucks, SUVs, and commercial vehicles.
  • D. GMC
    GMC is the independent regulatory body that oversees medical education and professional standards for doctors in the United Kingdom.
  • E. GMC
    GMC is the commonly used abbreviation for the Great Midwest Conference, a former NCAA collegiate athletic conference in the United States.
  • 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_69c008a54fc88190b6ce4416490ca79d completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05d32ef548190bc215d052d3497fe completed March 22, 2026, 9:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1419064a48190880005459c86322c completed March 23, 2026, 1:35 p.m.
NEDg Description generation batch_69c145afb0d48190b23248f2a7d511de completed March 23, 2026, 1:52 p.m.
NED2 Entity disambiguation (via description) batch_69c146374a108190a0e1909afafd40b6 completed March 23, 2026, 1:55 p.m.
Created at: March 22, 2026, 4:17 p.m.