Triple

T2516202
Position Surface form Disambiguated ID Type / Status
Subject L.A. Law E55417 entity
Predicate mainCharacter P1183 FINISHED
Object Leland McKenzie
Leland McKenzie is a senior partner and authoritative yet principled lawyer at the fictional Los Angeles law firm in the television series "L.A. Law."
E309341 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: Leland McKenzie | Statement: [L.A. Law, mainCharacter, Leland McKenzie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leland McKenzie
Context triple: [L.A. Law, mainCharacter, Leland McKenzie]
  • A. Marc McClure
    Marc McClure is an American actor best known for playing Jimmy Olsen in the Superman film series and Dave McFly in the Back to the Future trilogy.
  • B. Curt Menefee
    Curt Menefee is an American sportscaster best known as the longtime studio host of Fox's NFL coverage.
  • C. John Dunlavy
    John Dunlavy was an early 19th-century American religious leader and writer involved in the dissolution of the Springfield Presbytery and later known for his association with the Shaker movement.
  • D. Melville Tucker
    Melville Tucker is a film producer best known for his work on the 1980 comedy movie "Stir Crazy."
  • E. Mack Gerhardt
    Mack Gerhardt is a central character in the television series "The Unit," known as a tough and highly skilled member of an elite U.S. Army special operations team.
  • 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: Leland McKenzie
Triple: [L.A. Law, mainCharacter, Leland McKenzie]
Generated description
Leland McKenzie is a senior partner and authoritative yet principled lawyer at the fictional Los Angeles law firm in the television series "L.A. Law."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Leland McKenzie
Target entity description: Leland McKenzie is a senior partner and authoritative yet principled lawyer at the fictional Los Angeles law firm in the television series "L.A. Law."
  • A. Marc McClure
    Marc McClure is an American actor best known for playing Jimmy Olsen in the Superman film series and Dave McFly in the Back to the Future trilogy.
  • B. Curt Menefee
    Curt Menefee is an American sportscaster best known as the longtime studio host of Fox's NFL coverage.
  • C. John Dunlavy
    John Dunlavy was an early 19th-century American religious leader and writer involved in the dissolution of the Springfield Presbytery and later known for his association with the Shaker movement.
  • D. Melville Tucker
    Melville Tucker is a film producer best known for his work on the 1980 comedy movie "Stir Crazy."
  • E. Mack Gerhardt
    Mack Gerhardt is a central character in the television series "The Unit," known as a tough and highly skilled member of an elite U.S. Army special operations team.
  • 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_69ab49e4749c8190813311efd1630f1b completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd20f8d0c8190bfdcb99a12f59d59 completed March 7, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69b055a71200819095c2a5481c61deb5 completed March 10, 2026, 5:32 p.m.
NEDg Description generation batch_69b05f4ec26c8190bf1edd143353c715 completed March 10, 2026, 6:13 p.m.
NED2 Entity disambiguation (via description) batch_69b061c642588190a6402ce34c430f53 completed March 10, 2026, 6:24 p.m.
Created at: March 6, 2026, 9:46 p.m.