Triple

T11203423
Position Surface form Disambiguated ID Type / Status
Subject United Talent Agency E265096 entity
Predicate hasDivision P35 FINISHED
Object UTA Digital Talent
UTA Digital Talent is a division of United Talent Agency that represents and develops online creators, influencers, and other digital-first talent across emerging media platforms.
E911124 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: UTA Digital Talent | Statement: [United Talent Agency, hasDivision, UTA Digital Talent]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UTA Digital Talent
Context triple: [United Talent Agency, hasDivision, UTA Digital Talent]
  • A. UTA
    UTA is the ICAO airline designator used to identify UTair Aviation in international aviation operations.
  • B. UTA
    UTA is a large public research university located in Arlington, Texas, known for its diverse student body and strong engineering, business, and nursing programs.
  • C. UTA
    UTA is the public-facing brand name of the Utah Transit Authority, which operates bus, light rail, commuter rail, and other transit services across the Wasatch Front in Utah.
  • D. UTA
    UTA is the three-letter IATA airport code assigned to Mutare Airport in Zimbabwe.
  • E. UTech
    UTech is a public university in Jamaica known for its focus on technology, applied sciences, and professional education.
  • 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: UTA Digital Talent
Triple: [United Talent Agency, hasDivision, UTA Digital Talent]
Generated description
UTA Digital Talent is a division of United Talent Agency that represents and develops online creators, influencers, and other digital-first talent across emerging media platforms.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: UTA Digital Talent
Target entity description: UTA Digital Talent is a division of United Talent Agency that represents and develops online creators, influencers, and other digital-first talent across emerging media platforms.
  • A. UTA
    UTA is a large public research university located in Arlington, Texas, known for its diverse student body and strong engineering, business, and nursing programs.
  • B. UTA
    UTA is the public-facing brand name of the Utah Transit Authority, which operates bus, light rail, commuter rail, and other transit services across the Wasatch Front in Utah.
  • C. UTA
    UTA is the three-letter IATA airport code assigned to Mutare Airport in Zimbabwe.
  • D. UTA
    UTA is the ICAO airline designator used to identify UTair Aviation in international aviation operations.
  • E. UTech
    UTech is a public university in Jamaica known for its focus on technology, applied sciences, and professional education.
  • 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_69d6aa9eb9248190b20211772621b4bc completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8d355c481908fc3d555b596314d completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4972bfbd481908cd0da59389ae17c completed April 19, 2026, 8:49 a.m.
NEDg Description generation batch_69e49d37989881909c7e75ddfff06726 completed April 19, 2026, 9:15 a.m.
NED2 Entity disambiguation (via description) batch_69e49f41a1f8819087cc15527dc7ff63 completed April 19, 2026, 9:24 a.m.
Created at: April 8, 2026, 9:29 p.m.