Triple

T695066
Position Surface form Disambiguated ID Type / Status
Subject The Light E13876 entity
Predicate labelImprint P2763 FINISHED
Object MCA
MCA was a major American record label and entertainment company known for signing prominent artists and producing a wide range of popular music releases.
 E85483 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: MCA | Statement: [The Light, labelImprint, MCA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MCA
Context triple: [The Light, labelImprint, MCA]
  • A. MGA
    MGA is the commonly used abbreviation for the Maryland General Assembly, the state’s bicameral legislative body.
  • B. MVD
    The MVD was the Soviet Ministry of Internal Affairs, a powerful state security and police organ that, among other functions, administered the Gulag forced labor camp system.
  • C. MAB
    MAB is a German bibliographic data format used for cataloging and exchanging library records, closely related to and historically aligned with MARC standards.
  • D. CMC
    CMC is the commonly used abbreviation for the Commandant of the United States Marine Corps, the service’s highest-ranking officer and senior military leader.
  • E. MCRC
    MCRC is the United States Marine Corps Recruiting Command responsible for enlisting and accessing new Marines into the Corps.
  • 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: MCA
Triple: [The Light, labelImprint, MCA]
Generated description
MCA was a major American record label and entertainment company known for signing prominent artists and producing a wide range of popular music releases.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MCA
Target entity description: MCA was a major American record label and entertainment company known for signing prominent artists and producing a wide range of popular music releases.
  • A. MGA
    MGA is the commonly used abbreviation for the Maryland General Assembly, the state’s bicameral legislative body.
  • B. MVD
    The MVD was the Soviet Ministry of Internal Affairs, a powerful state security and police organ that, among other functions, administered the Gulag forced labor camp system.
  • C. MAB
    MAB is a German bibliographic data format used for cataloging and exchanging library records, closely related to and historically aligned with MARC standards.
  • D. CMC
    CMC is the commonly used abbreviation for the Commandant of the United States Marine Corps, the service’s highest-ranking officer and senior military leader.
  • E. MCRC
    MCRC is the United States Marine Corps Recruiting Command responsible for enlisting and accessing new Marines into the Corps.
  • 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_69a493406c408190957eeec9048a8fb6 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a0c3f39c8190a3014df428817492 completed March 1, 2026, 8:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5dca9aa9c8190a113e782988aa7f8 completed March 2, 2026, 6:53 p.m.
NEDg Description generation batch_69a5e70510908190bcbd1c46629d05f5 completed March 2, 2026, 7:37 p.m.
NED2 Entity disambiguation (via description) batch_69a60989aac08190a324c8d9889086f5 completed March 2, 2026, 10:04 p.m.
Created at: March 1, 2026, 7:36 p.m.