Triple

T815663
Position Surface form Disambiguated ID Type / Status
Subject Ruby E17647 entity
Predicate influencedBy P9 FINISHED
Object Lisp E94990 NE FINISHED

How this triple was built (2 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: Lisp | Statement: [Ruby, influencedBy, Lisp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lisp
Context triple: [Ruby, influencedBy, Lisp]
  • A. Lisp programming language chosen
    Lisp is a pioneering high-level programming language, especially influential in artificial intelligence research and known for its symbolic processing and distinctive parenthesized syntax.
  • B. Scheme
    Scheme is a minimalist, lexically scoped dialect of the Lisp programming language known for its elegant functional programming model and powerful macro system.
  • C. Emacs Lisp (for GNU Emacs environment)
    Emacs Lisp is a dialect of the Lisp programming language used as the extension and scripting language of the GNU Emacs text editor.
  • D. GNU Guile
    GNU Guile is the official extension language platform of the GNU Project, providing a Scheme-based scripting and programming environment for extending and customizing applications.
  • E. Structure and Interpretation of Computer Programs
    Structure and Interpretation of Computer Programs is a seminal computer science textbook by Harold Abelson and Gerald Jay Sussman that uses the Scheme language to teach fundamental principles of programming and software design.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a4937bcaac8190a322524ac6f45a5a completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4ab5157b08190b6c8f2fd455f261e completed March 1, 2026, 9:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7928d2ee8819091dbef1dd5272f6f completed March 4, 2026, 2:01 a.m.
Created at: March 1, 2026, 7:38 p.m.