Triple

T4088120
Position Surface form Disambiguated ID Type / Status
Subject Mary Simon E87637 entity
Predicate honorificSuffix P341 FINISHED
Object CMM
CMM is a post-nominal designation indicating membership in the Order of Canada at the rank of Member.
E413726 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: CMM | Statement: [Mary Simon, honorificSuffix, CMM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CMM
Context triple: [Mary Simon, honorificSuffix, CMM]
  • A. CMM
    CMM is the commonly used abbreviation for the Montreal Metropolitan Community, a regional governance body that coordinates planning and development across the Greater Montreal area in Quebec, Canada.
  • B. CMM
    CMM is Finland’s independent self-regulatory body that oversees journalistic ethics and handles complaints about the news media.
  • C. TMM
    TMM was the former currency code for the original Turkmenistan manat used before the country's monetary redenomination.
  • D. CMI
    CMI is the three-letter IATA airport code for University of Illinois Willard Airport, serving the Champaign–Urbana area in Illinois, USA.
  • E. Cm
    Cm is the standard abbreviation used for United Kingdom Command Papers, a type of official government publication presented to Parliament.
  • 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: CMM
Triple: [Mary Simon, honorificSuffix, CMM]
Generated description
CMM is a post-nominal designation indicating membership in the Order of Canada at the rank of Member.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: CMM
Target entity description: CMM is a post-nominal designation indicating membership in the Order of Canada at the rank of Member.
  • A. CMM
    CMM is the commonly used abbreviation for the Montreal Metropolitan Community, a regional governance body that coordinates planning and development across the Greater Montreal area in Quebec, Canada.
  • B. CMM
    CMM is Finland’s independent self-regulatory body that oversees journalistic ethics and handles complaints about the news media.
  • C. TMM
    TMM was the former currency code for the original Turkmenistan manat used before the country's monetary redenomination.
  • D. CMI
    CMI is the three-letter IATA airport code for University of Illinois Willard Airport, serving the Champaign–Urbana area in Illinois, USA.
  • E. Cm
    Cm is the standard abbreviation used for United Kingdom Command Papers, a type of official government publication presented to Parliament.
  • 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_69aed94425148190be337845d56fac22 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefca899008190b5ada98bdb79639f completed March 9, 2026, 5 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b6335c4819093538f261a5093b3 completed March 14, 2026, 2:06 p.m.
NEDg Description generation batch_69b56f249fa08190b14793f298ed160c completed March 14, 2026, 2:22 p.m.
NED2 Entity disambiguation (via description) batch_69b56f91065c8190bd6767249109d715 completed March 14, 2026, 2:24 p.m.
Created at: March 9, 2026, 3:39 p.m.