Triple

T13316980
Position Surface form Disambiguated ID Type / Status
Subject Control Data Corporation E317210 entity
Predicate successor P78 FINISHED
Object Arbitron
Arbitron was a media and marketing research firm best known for measuring radio audiences in the United States.
E208322 NE FINISHED

Named-entity recognition

Before disambiguation, gpt-5-mini classified whether the object phrase is a named entity — the step behind the object's NE type shown above.

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: Arbitron | Statement: [Control Data Corporation, successor, Arbitron]

Disambiguation candidates (2 decisions)

The exact options the model was shown at each disambiguation step, with the option it chose highlighted — the evidence behind this triple's disambiguated ids.

NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arbitron
Context triple: [Control Data Corporation, successor, Arbitron]
  • A. Nielsen Company
    Nielsen Company is a global measurement and data analytics firm best known for providing audience and consumer insights across media, entertainment, and retail industries.
  • B. Nielsen
    Nielsen is a common Scandinavian surname, particularly prevalent in Denmark and Norway, traditionally meaning "son of Niels."
  • C. Nielson
    Nielson is a surname and given name that functions as a spelling variant of Nelson, commonly of Scandinavian or English origin.
  • D. Westwood One
    Westwood One is a major American radio network best known for its nationwide sports coverage, including live broadcasts of NFL games.
  • E. Gallup
    Gallup is a small city in northwestern New Mexico known as a historic stop along Route 66 and a cultural center for Native American art and trading.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Arbitron
Target entity description: Arbitron was a media and marketing research firm best known for measuring radio audiences in the United States.
  • A. Nielsen Company chosen
    Nielsen Company is a global measurement and data analytics firm best known for providing audience and consumer insights across media, entertainment, and retail industries.
  • B. Nielsen
    Nielsen is a common Scandinavian surname, particularly prevalent in Denmark and Norway, traditionally meaning "son of Niels."
  • C. Nielson
    Nielson is a surname and given name that functions as a spelling variant of Nelson, commonly of Scandinavian or English origin.
  • D. Westwood One
    Westwood One is a major American radio network best known for its nationwide sports coverage, including live broadcasts of NFL games.
  • E. Gallup
    Gallup is a small city in northwestern New Mexico known as a historic stop along Route 66 and a cultural center for Native American art and trading.
  • F. None of above.

How the object was described

The object's one-sentence description was generated by prompting gpt-5.1 with the object name and this triple as context.

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: Arbitron
Triple: [Control Data Corporation, successor, Arbitron]
Generated description
Arbitron was a media and marketing research firm best known for measuring radio audiences in the United States.

Provenance (5 batches)

Stage Batch ID Job type Status
creating batch_69d806b4d62c81908d4ced1665414be5 elicitation completed
NER batch_69d990f9a384819085890e18255ee339 ner completed
NED1 batch_69f716ee695c81909ffeeb0901ee66c1 ned_source_triple completed
NED2 batch_69f718b852808190a2a0fb48424bffb0 ned_description completed
NEDg batch_69f717f4d80c8190a1a95c0f2c83c563 nedg completed
Created at: April 9, 2026, 9:29 p.m.