Triple

T6976574
Position Surface form Disambiguated ID Type / Status
Subject Good Charlotte E161729 entity
Predicate recordLabel P1500 FINISHED
Object MDDN
MDDN is an independent music company and artist management firm founded by Good Charlotte’s Madden brothers, known for working closely with rock and alternative acts.
 E632660 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: MDDN | Statement: [Good Charlotte, recordLabel, MDDN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MDDN
Context triple: [Good Charlotte, recordLabel, MDDN]
  • A. DDDN
    DDDN is a medical division specializing in the research, diagnosis, and treatment of digestive system and nutritional disorders.
  • B. DDM
    DDM was the ISO 4217 currency code for the East German mark, the official currency of the former German Democratic Republic.
  • C. MDE
    MDE is the state agency in Maryland responsible for protecting and restoring the environment and public health through regulation, monitoring, and enforcement of environmental laws.
  • D. MDC
    MDC is a Zimbabwean opposition political party known as the Movement for Democratic Change, which has played a major role in challenging the long-standing rule of ZANU–PF.
  • E. MDV
    MDV is a venture capital firm known for investing in early-stage technology and life sciences companies.
  • 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: MDDN
Triple: [Good Charlotte, recordLabel, MDDN]
Generated description
MDDN is an independent music company and artist management firm founded by Good Charlotte’s Madden brothers, known for working closely with rock and alternative acts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MDDN
Target entity description: MDDN is an independent music company and artist management firm founded by Good Charlotte’s Madden brothers, known for working closely with rock and alternative acts.
  • A. DDDN
    DDDN is a medical division specializing in the research, diagnosis, and treatment of digestive system and nutritional disorders.
  • B. DDM
    DDM was the ISO 4217 currency code for the East German mark, the official currency of the former German Democratic Republic.
  • C. MDE
    MDE is the state agency in Maryland responsible for protecting and restoring the environment and public health through regulation, monitoring, and enforcement of environmental laws.
  • D. MDC
    MDC is a Zimbabwean opposition political party known as the Movement for Democratic Change, which has played a major role in challenging the long-standing rule of ZANU–PF.
  • E. MDV
    MDV is a venture capital firm known for investing in early-stage technology and life sciences companies.
  • 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_69c68854a0d88190bc0bf82263f1afce completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db677bbc8190a084b6951e5c3182 completed March 27, 2026, 7:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69c761af5bb48190af430e961efb34fb completed March 28, 2026, 5:05 a.m.
NEDg Description generation batch_69c762cd5f388190980808321296abd3 completed March 28, 2026, 5:10 a.m.
NED2 Entity disambiguation (via description) batch_69c763beb91881909e561aa5715a6976 completed March 28, 2026, 5:14 a.m.
Created at: March 27, 2026, 2:31 p.m.