Triple

T21727046
Position Surface form Disambiguated ID Type / Status
Subject PDP-10 E536299 entity
Predicate notableSoftware P42421 FINISHED
Object MACLISP 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: MACLISP | Statement: [PDP-10, notableSoftware, MACLISP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MACLISP
Context triple: [PDP-10, notableSoftware, MACLISP]
  • A. Maclisp chosen
    Maclisp is an early and influential dialect of the Lisp programming language developed at MIT, notable for shaping later Lisp systems and language designs.
  • B. Lisp Machine Lisp
    Lisp Machine Lisp is a dialect of the Lisp programming language developed for specialized Lisp machine hardware, notable for its rich object system and tight integration with the underlying operating environment.
  • C. Interlisp
    Interlisp was an early, influential dialect and programming environment of the Lisp language, notable for its integrated development tools and impact on later Lisp systems.
  • D. 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.
  • E. Lisp machine
    A Lisp machine is a specialized computer system and architecture designed to efficiently run the Lisp programming language, popular in AI research during the 1970s and 1980s.
  • 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_69e0c46d3284819099a4f9d5a704eb95 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69efd973ac648190bb09e20ac1be2d9b completed April 27, 2026, 9:47 p.m.
Created at: April 16, 2026, 6:48 p.m.