Triple

T1627750
Position Surface form Disambiguated ID Type / Status
Subject D'banj E35184 entity
Predicate recordLabel P1500 FINISHED
Object DB Records
DB Records is a Nigerian music label founded by and associated with Afrobeats star D'banj.
E184935 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: DB Records | Statement: [D'banj, recordLabel, DB Records]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DB Records
Context triple: [D'banj, recordLabel, DB Records]
  • A. DB
    DB is the commonly used abbreviation for Deutsche Bahn, Germany’s national railway company and one of the largest rail operators in Europe.
  • B. RDS
    RDS is a Canadian French-language sports television network that broadcasts a wide range of professional and amateur sporting events.
  • C. DSN
    DSN is the acronym for NASA’s Deep Space Network, a global system of large radio antennas used to communicate with and track interplanetary spacecraft and distant space missions.
  • D. DBE
    DBE is the title "Dame Commander of the Order of the British Empire," a high-ranking honor awarded in the British honours system.
  • E. SQL
    SQL (Structured Query Language) is a standardized programming language used to manage, query, and manipulate data in relational database management systems.
  • 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: DB Records
Triple: [D'banj, recordLabel, DB Records]
Generated description
DB Records is a Nigerian music label founded by and associated with Afrobeats star D'banj.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: DB Records
Target entity description: DB Records is a Nigerian music label founded by and associated with Afrobeats star D'banj.
  • A. DB
    DB is the commonly used abbreviation for Deutsche Bahn, Germany’s national railway company and one of the largest rail operators in Europe.
  • B. RDS
    RDS is a Canadian French-language sports television network that broadcasts a wide range of professional and amateur sporting events.
  • C. DSN
    DSN is the acronym for NASA’s Deep Space Network, a global system of large radio antennas used to communicate with and track interplanetary spacecraft and distant space missions.
  • D. DBE
    DBE is the title "Dame Commander of the Order of the British Empire," a high-ranking honor awarded in the British honours system.
  • E. SQL
    SQL (Structured Query Language) is a standardized programming language used to manage, query, and manipulate data in relational database management systems.
  • 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_69a886023194819080a3fccd6e325d0e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa622ca9bc8190b99e90295cb01646 completed March 6, 2026, 5:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad58d3808c819086a4a66e66905e8a completed March 8, 2026, 11:09 a.m.
NEDg Description generation batch_69ad5a7f592881909b8fd45444e6d715 completed March 8, 2026, 11:16 a.m.
NED2 Entity disambiguation (via description) batch_69ad5b64a1f0819087338ee504f70f5c completed March 8, 2026, 11:20 a.m.
Created at: March 4, 2026, 7:28 p.m.