Triple

T1205520
Position Surface form Disambiguated ID Type / Status
Subject Military Medal E25878 entity
Predicate postNominals P1610 FINISHED
Object MM
MM is a post-nominal abbreviation indicating that a person has been awarded the Military Medal for bravery in battle.
 E137756 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: MM | Statement: [Military Medal, postNominals, MM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MM
Context triple: [Military Medal, postNominals, MM]
  • A. M
    M is a functional data mashup and query language used in Microsoft Power BI and related tools for data transformation and preparation.
  • B. M
    "M" is a 1951 American crime thriller film directed by Joseph Losey, adapted from Fritz Lang’s 1931 classic, in which David Wayne portrays a hunted child murderer.
  • C. M
    M is the codename for James Bond’s stern and authoritative superior who heads the British Secret Service in the 007 franchise.
  • D. MP
    MP is the two-letter ISO 3166-1 alpha-2 country code assigned to the Northern Mariana Islands.
  • E. MK
    MK is the two-letter ISO 3166-1 alpha-2 country code assigned to North Macedonia.
  • 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: MM
Triple: [Military Medal, postNominals, MM]
Generated description
MM is a post-nominal abbreviation indicating that a person has been awarded the Military Medal for bravery in battle.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MM
Target entity description: MM is a post-nominal abbreviation indicating that a person has been awarded the Military Medal for bravery in battle.
  • A. M
    M is a functional data mashup and query language used in Microsoft Power BI and related tools for data transformation and preparation.
  • B. M
    M is the codename for James Bond’s stern and authoritative superior who heads the British Secret Service in the 007 franchise.
  • C. M
    "M" is a 1951 American crime thriller film directed by Joseph Losey, adapted from Fritz Lang’s 1931 classic, in which David Wayne portrays a hunted child murderer.
  • D. MP
    MP is the two-letter ISO 3166-1 alpha-2 country code assigned to the Northern Mariana Islands.
  • E. MK
    MK is the two-letter ISO 3166-1 alpha-2 country code assigned to North Macedonia.
  • 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_69a4942b30f08190a91c60573e16b5ef completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bdc0f8d08190b340012a9eb26275 completed March 1, 2026, 10:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac7f3f4c508190bdc3d436d393daf9 completed March 7, 2026, 7:40 p.m.
NEDg Description generation batch_69ac7fc59a488190adbdf156aaff8c03 completed March 7, 2026, 7:43 p.m.
NED2 Entity disambiguation (via description) batch_69ac806a6d748190acc5cdfa8fb90a64 completed March 7, 2026, 7:45 p.m.
Created at: March 1, 2026, 7:46 p.m.