Triple

T20381829
Position Surface form Disambiguated ID Type / Status
Subject Thunderball E497850 entity
Predicate featuresCharacter P626 FINISHED
Object M
M is the codename of the stern, authoritative head of the British Secret Service and James Bond’s superior in the long-running 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: [Thunderball, featuresCharacter, M]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: M
Context triple: [Thunderball, featuresCharacter, 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. M
    M is the New York Stock Exchange ticker symbol for Macy's, Inc., a major American department store chain.
  • C. M
    M is an experimental musical composition by avant-garde American composer John Cage, reflecting his innovative approaches to sound and structure.
  • D. M
    M is a landmark 1931 German thriller film by Fritz Lang, renowned as an early and influential work in the serial killer and crime genre.
  • E. M
    M is a light rail line in San Francisco’s Muni Metro system that runs between the Embarcadero and the southwestern neighborhoods of the city.
  • 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: [Thunderball, featuresCharacter, M]
Generated description
M is the codename of the stern, authoritative head of the British Secret Service and James Bond’s superior in the long-running 007 franchise.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: M
Target entity description: M is the codename of the stern, authoritative head of the British Secret Service and James Bond’s superior in the long-running 007 franchise.
  • A. M chosen
    M is the codename for James Bond’s stern and authoritative superior who heads the British Secret Service in the 007 franchise.
  • B. M
    M is the standard notation for the Monster group, the largest sporadic simple group in group theory and a central object in the study of finite simple groups and monstrous moonshine.
  • 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. M
    M is a New York City Subway service that runs along the IND Sixth Avenue Line in Manhattan and connects Brooklyn and Queens.
  • E. M
    M is a music producer and composer known for creating the soundtrack to the French thriller film "Tell No One."
  • F. None of above.

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_69e0b4a5b7908190a972e4e7e698ae94 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e678b0ee708190bdbe4aab28a61525 completed April 20, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a087614b27c8190b5507fc1f2ef2891 completed May 16, 2026, 1:50 p.m.
NEDg Description generation batch_6a08778ad444819094ab2194a97091bd completed May 16, 2026, 1:56 p.m.
NED2 Entity disambiguation (via description) batch_6a08786c55cc81909d7195602f483d13 completed May 16, 2026, 2 p.m.
Created at: April 16, 2026, 11:27 a.m.