Triple

T932528
Position Surface form Disambiguated ID Type / Status
Subject From Russia, with Love E20123 entity
Predicate containsCharacter P5716 FINISHED
Object M
M is the codename for James Bond’s stern and authoritative superior who heads the British Secret Service in the 007 franchise.
 E109337 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: M | Statement: [From Russia, with Love, containsCharacter, M]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: M
Context triple: [From Russia, with Love, containsCharacter, M]
  • 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. Ma
    Ma is a common Chinese surname borne by many notable individuals across fields such as music, politics, and sports.
  • C. MR
    MR is a Belgian French-speaking liberal political party that participated as one of the partners in the federal Vivaldi coalition government led by Alexander De Croo.
  • D. MAR
    MAR is the three-letter ISO 3166-1 alpha-3 country code assigned to Morocco.
  • E. MZ
    MZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Mozambique.
  • 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: M
Triple: [From Russia, with Love, containsCharacter, M]
Generated description
M is the codename for James Bond’s stern and authoritative superior who heads the British Secret Service in the 007 franchise.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: M
Target entity description: M is the codename for James Bond’s stern and authoritative superior who heads the British Secret Service in the 007 franchise.
  • 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. Ma
    Ma is a common Chinese surname borne by many notable individuals across fields such as music, politics, and sports.
  • C. MR
    MR is a Belgian French-speaking liberal political party that participated as one of the partners in the federal Vivaldi coalition government led by Alexander De Croo.
  • D. MAR
    MAR is the three-letter ISO 3166-1 alpha-3 country code assigned to Morocco.
  • E. MZ
    MZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Mozambique.
  • 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_69a493af3dc48190adb7263e6e445ea1 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b34c457c819085cbfa0c798cb4c6 completed March 1, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7ee12da388190a26f0f7944d6f5f8 completed March 4, 2026, 8:32 a.m.
NEDg Description generation batch_69a7f12e48f88190bd0aac156a76f0b9 completed March 4, 2026, 8:45 a.m.
NED2 Entity disambiguation (via description) batch_69a7f1a2688881908524f10350137f4f completed March 4, 2026, 8:47 a.m.
Created at: March 1, 2026, 7:40 p.m.