Triple

T6009883
Position Surface form Disambiguated ID Type / Status
Subject Common Lisp E133804 entity
Predicate influencedBy P9 FINISHED
Object Zetalisp E529379 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: Zetalisp | Statement: [Common Lisp, influencedBy, Zetalisp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zetalisp
Context triple: [Common Lisp, influencedBy, Zetalisp]
  • A. Zetalisp chosen
    Zetalisp is an extended dialect of the Lisp programming language developed at Symbolics for its Lisp machines, known for advanced object-oriented and system programming features.
  • B. Franz Lisp
    Franz Lisp is a dialect of the Lisp programming language developed in the late 1970s at the University of California, Berkeley, primarily for use in artificial intelligence research and symbolic computation.
  • C. Chez Scheme
    Chez Scheme is a high-performance, optimizing implementation of the Scheme programming language widely used for both research and production systems.
  • D. Maclisp
    Maclisp is an early and influential dialect of the Lisp programming language developed at MIT, notable for shaping later Lisp systems and language designs.
  • E. CMU Common Lisp
    CMU Common Lisp is a high-performance, open-source implementation of the Common Lisp programming language developed at Carnegie Mellon University, notable for its advanced compiler and optimization capabilities.
  • 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_69c0087361a48190905c6b55969852b8 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04f4e27a881909cc3f7fef62abc3b completed March 22, 2026, 8:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1089bd870819096c0f6c7cf484c50 completed March 23, 2026, 9:32 a.m.
Created at: March 22, 2026, 4:06 p.m.