Triple

T9782902
Position Surface form Disambiguated ID Type / Status
Subject Verilog E237419 entity
Predicate influenced P9 FINISHED
Object Chisel
Chisel is a modern hardware description language embedded in Scala that enables advanced, parameterizable digital circuit design and generation.
 E820859 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: Chisel | Statement: [Verilog, influenced, Chisel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Chisel
Context triple: [Verilog, influenced, Chisel]
  • A. Hammer & Chisel
    Hammer & Chisel was the original game development studio that created and later rebranded into Discord, the popular communication platform.
  • B. Chislet
    Chislet is a rural village and civil parish in Kent, England, known for its historic church and countryside setting near Canterbury.
  • C. الحافرة
    الحافرة هو أحد الأسماء التي تُطلق على سورة التوبة في القرآن الكريم، ويُعرف أيضًا بسورة براءة.
  • D. The Grinder
    The Grinder is an American television sitcom that satirizes legal dramas, starring Rob Lowe and Fred Savage as brothers whose lives are upended when a TV lawyer returns home believing he can practice real law.
  • E. Zig
    Zig is a distinctive line of athletic footwear from Reebok known for its zigzag-shaped sole designed to enhance cushioning and energy return.
  • 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: Chisel
Triple: [Verilog, influenced, Chisel]
Generated description
Chisel is a modern hardware description language embedded in Scala that enables advanced, parameterizable digital circuit design and generation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Chisel
Target entity description: Chisel is a modern hardware description language embedded in Scala that enables advanced, parameterizable digital circuit design and generation.
  • A. Hammer & Chisel
    Hammer & Chisel was the original game development studio that created and later rebranded into Discord, the popular communication platform.
  • B. Chislet
    Chislet is a rural village and civil parish in Kent, England, known for its historic church and countryside setting near Canterbury.
  • C. الحافرة
    الحافرة هو أحد الأسماء التي تُطلق على سورة التوبة في القرآن الكريم، ويُعرف أيضًا بسورة براءة.
  • D. The Grinder
    The Grinder is an American television sitcom that satirizes legal dramas, starring Rob Lowe and Fred Savage as brothers whose lives are upended when a TV lawyer returns home believing he can practice real law.
  • E. Zig
    Zig is a distinctive line of athletic footwear from Reebok known for its zigzag-shaped sole designed to enhance cushioning and energy return.
  • 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_69ca84da927881909bda80caecad6010 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda1b5714481908bf74b8bf3e4e6e8 completed April 1, 2026, 10:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c41b31b08190937f374c2d51aa1b completed April 5, 2026, 2:08 a.m.
NEDg Description generation batch_69d1c4a087208190b81ae9d40de08ab9 completed April 5, 2026, 2:10 a.m.
NED2 Entity disambiguation (via description) batch_69d1c4fe71308190ac08e30c98611ed6 completed April 5, 2026, 2:12 a.m.
Created at: March 30, 2026, 8:27 p.m.