Triple

T22710044
Position Surface form Disambiguated ID Type / Status
Subject CLISP E561568 entity
Predicate supports P516 FINISHED
Object CLOS NE NERFINISHED

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: CLOS | Statement: [CLISP, supports, CLOS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CLOS
Context triple: [CLISP, supports, CLOS]
  • A. Common Lisp Object System chosen
    Common Lisp Object System is the object-oriented programming subsystem of Common Lisp, providing multiple inheritance, generic functions, and a powerful metaobject protocol.
  • B. Clozure CL
    Clozure CL is a modern, open-source implementation of the Common Lisp programming language known for its performance, native code compilation, and good integration with macOS and other Unix-like systems.
  • C. 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.
  • D. Allegro CL
    Allegro CL is a commercial, high-performance implementation of the Common Lisp programming language widely used for large-scale AI and enterprise applications.
  • E. Common Lisp
    Common Lisp is a powerful, multi-paradigm dialect of the Lisp programming language standardised in the 1980s, known for its rich macro system, dynamic typing, and suitability for large-scale, extensible software systems.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2454f1348819088d83f420925a5c1 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f178d1e24881909ebd4531c0daef7f completed April 29, 2026, 3:19 a.m.
Created at: April 17, 2026, 3:17 p.m.