Triple

T10210831
Position Surface form Disambiguated ID Type / Status
Subject The Street Lawyer E242321 entity
Predicate hasCharacter P2308 FINISHED
Object Brackman
Brackman is a character in John Grisham’s legal thriller novel "The Street Lawyer," involved in the story’s exploration of law, morality, and homelessness.
 E850124 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: Brackman | Statement: [The Street Lawyer, hasCharacter, Brackman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Brackman
Context triple: [The Street Lawyer, hasCharacter, Brackman]
  • A. Brisker
    Brisker is a surname most notably associated with John Brisker, an American professional basketball player who mysteriously disappeared in the 1970s.
  • B. Mullaney
    Mullaney is a surname of Irish origin borne by various notable individuals in sports, politics, and the arts.
  • C. Bronstein
    Bronstein is the original family surname of the Russian revolutionary leader Leon Trotsky.
  • D. Palmore
    Palmore is a surname that functions as a variant form of the more common family name Palmer.
  • E. Winston & Strawn
    Winston & Strawn is a major international law firm headquartered in Chicago, known for its litigation, corporate, and regulatory practices.
  • 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: Brackman
Triple: [The Street Lawyer, hasCharacter, Brackman]
Generated description
Brackman is a character in John Grisham’s legal thriller novel "The Street Lawyer," involved in the story’s exploration of law, morality, and homelessness.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Brackman
Target entity description: Brackman is a character in John Grisham’s legal thriller novel "The Street Lawyer," involved in the story’s exploration of law, morality, and homelessness.
  • A. Brisker
    Brisker is a surname most notably associated with John Brisker, an American professional basketball player who mysteriously disappeared in the 1970s.
  • B. Mullaney
    Mullaney is a surname of Irish origin borne by various notable individuals in sports, politics, and the arts.
  • C. Bronstein
    Bronstein is the original family surname of the Russian revolutionary leader Leon Trotsky.
  • D. Palmore
    Palmore is a surname that functions as a variant form of the more common family name Palmer.
  • E. Winston & Strawn
    Winston & Strawn is a major international law firm headquartered in Chicago, known for its litigation, corporate, and regulatory practices.
  • 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_69d381ae26c48190985abd0e25ee5d04 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d3aa22071c819095febd18dd607978 completed April 6, 2026, 12:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d652d8088c819084040883f2ab9dc6 completed April 8, 2026, 1:06 p.m.
NEDg Description generation batch_69d656a847fc8190af1f3e131e4200b3 completed April 8, 2026, 1:22 p.m.
NED2 Entity disambiguation (via description) batch_69d6570d98f881909b9591f9d953eb35 completed April 8, 2026, 1:24 p.m.
Created at: April 6, 2026, 11:01 a.m.