Triple

T19098452
Position Surface form Disambiguated ID Type / Status
Subject Matthieu Chedid E467467 entity
Predicate stageName P7872 FINISHED
Object -M-
-M- is the flamboyant musical alter ego of French singer-songwriter and guitarist Matthieu Chedid, known for his eclectic pop-rock style and inventive live performances.
E1358245 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: [Matthieu Chedid, stageName, -M-]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: -M-
Context triple: [Matthieu Chedid, stageName, -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 an experimental musical composition by avant-garde American composer John Cage, reflecting his innovative approaches to sound and structure.
  • C. 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.
  • 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: [Matthieu Chedid, stageName, -M-]
Generated description
-M- is the flamboyant musical alter ego of French singer-songwriter and guitarist Matthieu Chedid, known for his eclectic pop-rock style and inventive live performances.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: -M-
Target entity description: -M- is the flamboyant musical alter ego of French singer-songwriter and guitarist Matthieu Chedid, known for his eclectic pop-rock style and inventive live performances.
  • A. 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.
  • B. M
    M is a music producer and composer known for creating the soundtrack to the French thriller film "Tell No One."
  • C. M
    M is the common abbreviation for Sweden’s Moderate Party, a major center-right political party.
  • D. M
    M is the introspective zombie protagonist of the novel and film "Warm Bodies," whose gradual recovery of humanity drives the story’s unconventional romantic plot.
  • E. M
    M is a nickname or alternate name for Papa M, the musical project of American multi-instrumentalist David Pajo known for its experimental and post-rock-influenced sound.
  • 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_69d8dd05ac4c8190b1967d8f97f3fb2f completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e36b279c819091a8d51f044bc644 completed April 20, 2026, 8:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05dd98a1d48190bb46127c0bbc2351 completed May 14, 2026, 2:35 p.m.
NEDg Description generation batch_6a05dfcf14788190a75298641ba20e0e completed May 14, 2026, 2:44 p.m.
NED2 Entity disambiguation (via description) batch_6a05e10ae8188190a9dce95fa838ff7f completed May 14, 2026, 2:49 p.m.
Created at: April 10, 2026, 12:04 p.m.