Triple

T515228
Position Surface form Disambiguated ID Type / Status
Subject MLS Cup 2003 E10691 entity
Predicate referee P268 FINISHED
Object Brian Hall
Brian Hall is an American soccer referee best known for officiating high-profile Major League Soccer matches and international competitions.
E152560 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 Hall | Statement: [MLS Cup 2003, referee, Brian Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brian Hall
Context triple: [MLS Cup 2003, referee, Brian Hall]
  • A. John Brett
    John Brett was a 19th-century British painter associated with the Pre-Raphaelite movement, renowned for his highly detailed landscapes and maritime scenes.
  • B. Brian Pippard
    Brian Pippard was a prominent British physicist known for his pioneering work in superconductivity and for serving as Cavendish Professor of Physics at the University of Cambridge.
  • C. John Seale
    John Seale is an Australian cinematographer renowned for his Academy Award–winning work on films such as "The English Patient" and his visually striking collaborations with major directors.
  • D. Robert Paul Smith
    Robert Paul Smith was an American author and playwright best known for his humorous novels and plays, including the work that inspired the romantic comedy "The Tender Trap."
  • E. Jeremy Black
    Jeremy Black is a British historian renowned for his prolific scholarship on military history, international relations, and the history of warfare.
  • 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 Hall
Triple: [MLS Cup 2003, referee, Brian Hall]
Generated description
Brian Hall is an American soccer referee best known for officiating high-profile Major League Soccer matches and international competitions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Brian Hall
Target entity description: Brian Hall is an American soccer referee best known for officiating high-profile Major League Soccer matches and international competitions.
  • A. John Brett
    John Brett was a 19th-century British painter associated with the Pre-Raphaelite movement, renowned for his highly detailed landscapes and maritime scenes.
  • B. Brian Pippard
    Brian Pippard was a prominent British physicist known for his pioneering work in superconductivity and for serving as Cavendish Professor of Physics at the University of Cambridge.
  • C. John Seale
    John Seale is an Australian cinematographer renowned for his Academy Award–winning work on films such as "The English Patient" and his visually striking collaborations with major directors.
  • D. Robert Paul Smith
    Robert Paul Smith was an American author and playwright best known for his humorous novels and plays, including the work that inspired the romantic comedy "The Tender Trap."
  • E. Jeremy Black
    Jeremy Black is a British historian renowned for his prolific scholarship on military history, international relations, and the history of warfare.
  • 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_69a2e84a0d08819087e01863fcd9abf1 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f1836b688190a60cc901a8724159 completed Feb. 28, 2026, 1:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69acbefde5e48190881014a725e9411f completed March 8, 2026, 12:12 a.m.
NEDg Description generation batch_69acc0fff80081908058a436d64438b4 completed March 8, 2026, 12:21 a.m.
NED2 Entity disambiguation (via description) batch_69acc19c1d348190b42689852282aeae completed March 8, 2026, 12:23 a.m.
Created at: Feb. 28, 2026, 1:12 p.m.