Triple

T21095778
Position Surface form Disambiguated ID Type / Status
Subject Waterloo Road E519760 entity
Predicate executiveProducer P7225 FINISHED
Object Brian Park
Brian Park is a British television producer best known for his influential work on popular UK drama series.
E1466672 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: Brian Park | Statement: [Waterloo Road, executiveProducer, Brian Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brian Park
Context triple: [Waterloo Road, executiveProducer, Brian Park]
  • A. Kay Park
    Kay Park is a public park in Kilmarnock, Scotland, known for its landscaped grounds, recreational spaces, and historical monuments.
  • B. Dean Park
    Dean Park is a public recreational park located in Shrewsbury, Massachusetts, offering outdoor green space and community amenities.
  • C. Roy H. Park
    Roy H. Park was an American media executive and entrepreneur best known for building a major broadcasting and newspaper empire and for his extensive philanthropy in communications education.
  • D. Dean Parks
    Dean Parks is an American session guitarist and composer renowned for his extensive work with major artists across pop, rock, and jazz.
  • E. Steve Parkhouse
    Steve Parkhouse is a British comic book writer and artist known for his work on series such as "Resident Alien" and various titles for publishers like Dark Horse and Marvel UK.
  • 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: Brian Park
Triple: [Waterloo Road, executiveProducer, Brian Park]
Generated description
Brian Park is a British television producer best known for his influential work on popular UK drama series.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Brian Park
Target entity description: Brian Park is a British television producer best known for his influential work on popular UK drama series.
  • A. Kay Park
    Kay Park is a public park in Kilmarnock, Scotland, known for its landscaped grounds, recreational spaces, and historical monuments.
  • B. Dean Park
    Dean Park is a public recreational park located in Shrewsbury, Massachusetts, offering outdoor green space and community amenities.
  • C. Roy H. Park
    Roy H. Park was an American media executive and entrepreneur best known for building a major broadcasting and newspaper empire and for his extensive philanthropy in communications education.
  • D. Dean Parks
    Dean Parks is an American session guitarist and composer renowned for his extensive work with major artists across pop, rock, and jazz.
  • E. Steve Parkhouse
    Steve Parkhouse is a British comic book writer and artist known for his work on series such as "Resident Alien" and various titles for publishers like Dark Horse and Marvel UK.
  • 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_69e0b508d8dc81909be940dafe36c8f7 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e71b5845f88190a16f3df157f0906c completed April 21, 2026, 6:38 a.m.
NED1 Entity disambiguation (via context triple) batch_6a095a5e7f048190b485f392105666d2 completed May 17, 2026, 6:04 a.m.
NEDg Description generation batch_6a095b6d25f8819097334c13ef37003e completed May 17, 2026, 6:08 a.m.
NED2 Entity disambiguation (via description) batch_6a095c7c8840819087c9860a75314b83 completed May 17, 2026, 6:13 a.m.
Created at: April 16, 2026, 2:52 p.m.