Triple

T18824915
Position Surface form Disambiguated ID Type / Status
Subject The Bill E460358 entity
Predicate notableCharacter P1481 FINISHED
Object Don Beech
Don Beech is a notorious and corrupt detective character from the long-running British police drama series "The Bill."
E1344690 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: Don Beech | Statement: [The Bill, notableCharacter, Don Beech]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Don Beech
Context triple: [The Bill, notableCharacter, Don Beech]
  • A. William Beech
    William Beech is the shy, abused evacuee boy who is taken in and transformed by the kindly Tom Oakley in the novel "Goodnight Mister Tom."
  • B. Lot Whitcomb
    Lot Whitcomb was a 19th-century American pioneer, entrepreneur, and politician best known for founding the town of Milwaukie in the Oregon Territory and promoting early regional commerce and transportation.
  • C. Victor O'Hare
    Victor O'Hare was the son of prominent American socialist and antiwar activist Kate Richards O'Hare.
  • D. Wilfrid Kent Hughes
    Wilfrid Kent Hughes was an Australian politician and sports administrator who played a leading role in organizing the 1956 Melbourne Olympic Games.
  • E. Bernard Gourley
    Bernard Gourley is a music video director best known for helming high-profile videos in hip-hop and pop, including M.I.A.’s hit “Paper Planes.”
  • 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: Don Beech
Triple: [The Bill, notableCharacter, Don Beech]
Generated description
Don Beech is a notorious and corrupt detective character from the long-running British police drama series "The Bill."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Don Beech
Target entity description: Don Beech is a notorious and corrupt detective character from the long-running British police drama series "The Bill."
  • A. William Beech
    William Beech is the shy, abused evacuee boy who is taken in and transformed by the kindly Tom Oakley in the novel "Goodnight Mister Tom."
  • B. Lot Whitcomb
    Lot Whitcomb was a 19th-century American pioneer, entrepreneur, and politician best known for founding the town of Milwaukie in the Oregon Territory and promoting early regional commerce and transportation.
  • C. Victor O'Hare
    Victor O'Hare was the son of prominent American socialist and antiwar activist Kate Richards O'Hare.
  • D. Wilfrid Kent Hughes
    Wilfrid Kent Hughes was an Australian politician and sports administrator who played a leading role in organizing the 1956 Melbourne Olympic Games.
  • E. Bernard Gourley
    Bernard Gourley is a music video director best known for helming high-profile videos in hip-hop and pop, including M.I.A.’s hit “Paper Planes.”
  • 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_69d8dcf94c288190a06dea029ae4b223 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5a6bdefac8190892d6fd5c20a431e completed April 20, 2026, 4:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a055bd068588190bc34b99796e1a3e1 completed May 14, 2026, 5:21 a.m.
NEDg Description generation batch_6a0560c0ef4c819082b51fd8cee8c738 completed May 14, 2026, 5:42 a.m.
NED2 Entity disambiguation (via description) batch_6a05615a8a7481908ec4c6f9835ca616 completed May 14, 2026, 5:44 a.m.
Created at: April 10, 2026, 11:56 a.m.