Triple

T10715681
Position Surface form Disambiguated ID Type / Status
Subject Luminate E252660 entity
Predicate formerlyKnownAs P65 FINISHED
Object MRC Data
MRC Data was a music and entertainment data analytics company best known for tracking and reporting music consumption and chart performance before rebranding as Luminate.
 E881164 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: MRC Data | Statement: [Luminate, formerlyKnownAs, MRC Data]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MRC Data
Context triple: [Luminate, formerlyKnownAs, MRC Data]
  • A. MRC
    MRC is a major UK organization that funds and supports medical research to improve human health.
  • B. MRC
    MRC is an American independent film and television studio known for producing and financing a wide range of acclaimed movies and TV series.
  • C. MRC
    MRC is an intergovernmental organization that coordinates sustainable development and management of the Mekong River basin among its member countries.
  • D. MCRC
    MCRC is the United States Marine Corps Recruiting Command responsible for enlisting and accessing new Marines into the Corps.
  • E. UK Data Archive
    The UK Data Archive is a major national repository that curates, preserves, and provides access to a wide range of social science and humanities research data in the United Kingdom.
  • 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: MRC Data
Triple: [Luminate, formerlyKnownAs, MRC Data]
Generated description
MRC Data was a music and entertainment data analytics company best known for tracking and reporting music consumption and chart performance before rebranding as Luminate.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MRC Data
Target entity description: MRC Data was a music and entertainment data analytics company best known for tracking and reporting music consumption and chart performance before rebranding as Luminate.
  • A. MRC
    MRC is a major UK organization that funds and supports medical research to improve human health.
  • B. MRC
    MRC is an American independent film and television studio known for producing and financing a wide range of acclaimed movies and TV series.
  • C. MRC
    MRC is an intergovernmental organization that coordinates sustainable development and management of the Mekong River basin among its member countries.
  • D. MCRC
    MCRC is the United States Marine Corps Recruiting Command responsible for enlisting and accessing new Marines into the Corps.
  • E. UK Data Archive
    The UK Data Archive is a major national repository that curates, preserves, and provides access to a wide range of social science and humanities research data in the United Kingdom.
  • 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_69d6aa5cbabc8190973e683950d89faf completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6ff3320448190899c56b02a7f5ffa completed April 9, 2026, 1:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69d9991f650881908d8db6e44b2c4543 completed April 11, 2026, 12:43 a.m.
NEDg Description generation batch_69d99e86e198819080f71400295a31e7 completed April 11, 2026, 1:06 a.m.
NED2 Entity disambiguation (via description) batch_69dadccd1d7081908ae53b97d2c2a6cb completed April 11, 2026, 11:44 p.m.
Created at: April 8, 2026, 9:13 p.m.