Triple

T2000699
Position Surface form Disambiguated ID Type / Status
Subject Cutter v. Wilkinson E43462 entity
Predicate hasPetitioner P3132 FINISHED
Object Cutter
Cutter is the named petitioner in the U.S. Supreme Court case Cutter v. Wilkinson, which addressed the religious rights of prison inmates under federal law.
 E223962 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: Cutter | Statement: [Cutter v. Wilkinson, hasPetitioner, Cutter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cutter
Context triple: [Cutter v. Wilkinson, hasPetitioner, Cutter]
  • A. Burr
    Burr is a surname most famously associated with Aaron Burr, the third vice president of the United States who dueled Alexander Hamilton.
  • B. Cobra
    Cobra is a 1986 American action thriller film starring Sylvester Stallone as a tough, rule-breaking cop battling a violent crime cult.
  • C. Speer
    Speer is a German surname most famously associated with Albert Speer, the Nazi architect and Minister of Armaments and War Production during World War II.
  • D. Kershaw
    Kershaw is a surname most famously associated with Clayton Kershaw, the elite Major League Baseball pitcher for the Los Angeles Dodgers.
  • E. Razor
    Razor is a lightweight, server-side templating syntax used in ASP.NET to embed C# or VB.NET code within HTML for generating dynamic web pages.
  • 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: Cutter
Triple: [Cutter v. Wilkinson, hasPetitioner, Cutter]
Generated description
Cutter is the named petitioner in the U.S. Supreme Court case Cutter v. Wilkinson, which addressed the religious rights of prison inmates under federal law.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cutter
Target entity description: Cutter is the named petitioner in the U.S. Supreme Court case Cutter v. Wilkinson, which addressed the religious rights of prison inmates under federal law.
  • A. Burr
    Burr is a surname most famously associated with Aaron Burr, the third vice president of the United States who dueled Alexander Hamilton.
  • B. Cobra
    Cobra is a 1986 American action thriller film starring Sylvester Stallone as a tough, rule-breaking cop battling a violent crime cult.
  • C. Speer
    Speer is a German surname most famously associated with Albert Speer, the Nazi architect and Minister of Armaments and War Production during World War II.
  • D. Kershaw
    Kershaw is a surname most famously associated with Clayton Kershaw, the elite Major League Baseball pitcher for the Los Angeles Dodgers.
  • E. Razor
    Razor is a lightweight, server-side templating syntax used in ASP.NET to embed C# or VB.NET code within HTML for generating dynamic web pages.
  • 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_69a88715dbbc8190b2299e29e955d997 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb87f78f0819098e787a5f3e062fd completed March 7, 2026, 5:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0342ef8c8190b7771076282981c3 completed March 8, 2026, 11:16 p.m.
NEDg Description generation batch_69ae057cc1a08190895031fa6c095f49 completed March 8, 2026, 11:25 p.m.
NED2 Entity disambiguation (via description) batch_69ae0751eff4819086e5469a2c56a24d completed March 8, 2026, 11:33 p.m.
Created at: March 4, 2026, 7:37 p.m.