Triple

T3197342
Position Surface form Disambiguated ID Type / Status
Subject The Practice E66964 entity
Predicate mainCharacter P1183 FINISHED
Object Eugene Young
Eugene Young is a central defense attorney character in the legal drama television series "The Practice," known for his moral conviction and courtroom intensity.
 E338596 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: Eugene Young | Statement: [The Practice, mainCharacter, Eugene Young]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Eugene Young
Context triple: [The Practice, mainCharacter, Eugene Young]
  • A. Eugene Maurice
    Eugene Maurice was a 17th-century French nobleman and military commander who held the title of Count of Soissons.
  • B. John Fred Young
    John Fred Young is an American rock drummer best known as a founding member of the band Black Stone Cherry.
  • C. Eugene Miller
    Eugene Miller was a screenwriter best known for his work on classic Hollywood films such as "The Mark of Zorro."
  • D. Earle Kingston
    Earle Kingston is the husband of acclaimed Chinese American author Maxine Hong Kingston.
  • E. William Allen Young
    William Allen Young is an American actor and director best known for his television roles on series such as "Moesha" and "Code Black."
  • 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: Eugene Young
Triple: [The Practice, mainCharacter, Eugene Young]
Generated description
Eugene Young is a central defense attorney character in the legal drama television series "The Practice," known for his moral conviction and courtroom intensity.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Eugene Young
Target entity description: Eugene Young is a central defense attorney character in the legal drama television series "The Practice," known for his moral conviction and courtroom intensity.
  • A. Eugene Maurice
    Eugene Maurice was a 17th-century French nobleman and military commander who held the title of Count of Soissons.
  • B. John Fred Young
    John Fred Young is an American rock drummer best known as a founding member of the band Black Stone Cherry.
  • C. Eugene Miller
    Eugene Miller was a screenwriter best known for his work on classic Hollywood films such as "The Mark of Zorro."
  • D. Earle Kingston
    Earle Kingston is the husband of acclaimed Chinese American author Maxine Hong Kingston.
  • E. William Allen Young
    William Allen Young is an American actor and director best known for his television roles on series such as "Moesha" and "Code Black."
  • 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_69ad8588ba18819086a10951c32ecb80 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada7192994819084817307065a25e2 completed March 8, 2026, 4:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2621d3bcc8190abf84310bc118757 completed March 12, 2026, 6:50 a.m.
NEDg Description generation batch_69b264c2b3e88190bdfb33f12c318c70 completed March 12, 2026, 7:01 a.m.
NED2 Entity disambiguation (via description) batch_69b2689419808190adb9b69bf3185daf completed March 12, 2026, 7:17 a.m.
Created at: March 8, 2026, 3:07 p.m.