Triple

T1302740
Position Surface form Disambiguated ID Type / Status
Subject Higher Truth E27803 entity
Predicate label P38 FINISHED
Object UMe
UMe is a record label and division of Universal Music Group that specializes in reissues, compilations, and catalog releases from the company’s extensive music archives.
 E148735 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: UMe | Statement: [Higher Truth, label, UMe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UMe
Context triple: [Higher Truth, label, UMe]
  • A. UM
    UM is the commonly used abbreviation for the University of Miami, a private research university located in Coral Gables, Florida.
  • B. UM
    UM is the regional vehicle registration code used for the district of Uckermark in the German state of Brandenburg.
  • C. UM
    UM is a public research university in Winnipeg, Canada, known as the University of Manitoba.
  • D. U3
    U3 is one of the main lines of the Nuremberg U-Bahn rapid transit system in Nuremberg, Germany.
  • E. USIC
    USIC is the commonly used acronym for the United States Intelligence Community, the federation of U.S. government agencies responsible for intelligence and national security activities.
  • 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: UMe
Triple: [Higher Truth, label, UMe]
Generated description
UMe is a record label and division of Universal Music Group that specializes in reissues, compilations, and catalog releases from the company’s extensive music archives.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: UMe
Target entity description: UMe is a record label and division of Universal Music Group that specializes in reissues, compilations, and catalog releases from the company’s extensive music archives.
  • A. UM
    UM is the commonly used abbreviation for the University of Miami, a private research university located in Coral Gables, Florida.
  • B. UM
    UM is the regional vehicle registration code used for the district of Uckermark in the German state of Brandenburg.
  • C. UM
    UM is a public research university in Winnipeg, Canada, known as the University of Manitoba.
  • D. U3
    U3 is one of the main lines of the Nuremberg U-Bahn rapid transit system in Nuremberg, Germany.
  • E. USIC
    USIC is the commonly used acronym for the United States Intelligence Community, the federation of U.S. government agencies responsible for intelligence and national security activities.
  • 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_69a496d7d83481908f83085854e51328 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c115ba64819081c55fa6807e19ef completed March 1, 2026, 10:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69acb3046a888190956f6bedb6ec589f completed March 7, 2026, 11:21 p.m.
NEDg Description generation batch_69acb370c7cc81908a78bb5438416db6 completed March 7, 2026, 11:23 p.m.
NED2 Entity disambiguation (via description) batch_69acb409b4d0819081266cf3e6c09164 completed March 7, 2026, 11:26 p.m.
Created at: March 1, 2026, 7:51 p.m.