Triple

T4416678
Position Surface form Disambiguated ID Type / Status
Subject Lisp E94990 entity
Predicate influenced P9 FINISHED
Object Arc
Arc is a minimalist dialect of the Lisp programming language designed by Paul Graham and Robert Morris to explore new ideas in language design and rapid prototyping.
E437495 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: Arc | Statement: [Lisp, influenced, Arc]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arc
Context triple: [Lisp, influenced, Arc]
  • A. Arcop
    Arcop was a prominent Canadian architectural firm known for its modernist designs and major cultural and institutional projects across Canada.
  • B. ARC
    ARC is a family of configurable 32-bit RISC processor architectures commonly used in embedded and SoC designs.
  • C. ARC
    ARC is the commonly used acronym for the Augmentation Research Center, a pioneering research group known for its early work on interactive computing and human–computer interaction.
  • D. Arc Whip
    Arc Whip is an electrified, whip-like melee weapon used by the Jaeger Guardian Bravo in the Pacific Rim universe to deliver powerful close-range attacks.
  • E. Axis
    Axis refers to the World War II military coalition of Germany, Italy, Japan, and their allies that opposed the Allied powers.
  • 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: Arc
Triple: [Lisp, influenced, Arc]
Generated description
Arc is a minimalist dialect of the Lisp programming language designed by Paul Graham and Robert Morris to explore new ideas in language design and rapid prototyping.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Arc
Target entity description: Arc is a minimalist dialect of the Lisp programming language designed by Paul Graham and Robert Morris to explore new ideas in language design and rapid prototyping.
  • A. Arcop
    Arcop was a prominent Canadian architectural firm known for its modernist designs and major cultural and institutional projects across Canada.
  • B. ARC
    ARC is a family of configurable 32-bit RISC processor architectures commonly used in embedded and SoC designs.
  • C. ARC
    ARC is the commonly used acronym for the Augmentation Research Center, a pioneering research group known for its early work on interactive computing and human–computer interaction.
  • D. Arc Whip
    Arc Whip is an electrified, whip-like melee weapon used by the Jaeger Guardian Bravo in the Pacific Rim universe to deliver powerful close-range attacks.
  • E. Axis
    Axis refers to the World War II military coalition of Germany, Italy, Japan, and their allies that opposed the Allied powers.
  • 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_69b3453a36908190b95a79a297ca083c completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3551afb448190a2ce2000193808ac completed March 13, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69b5f61b56a8819099b5302f1b53f76d completed March 14, 2026, 11:58 p.m.
NEDg Description generation batch_69b5f709063c81909334a5b21da99c22 completed March 15, 2026, 12:02 a.m.
NED2 Entity disambiguation (via description) batch_69b5f7887cb08190bf498eefc3627bfa completed March 15, 2026, 12:04 a.m.
Created at: March 12, 2026, 11:29 p.m.