Triple

T8472155
Position Surface form Disambiguated ID Type / Status
Subject Symbolics E200304 entity
Predicate developed P73 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: [Symbolics, developed, Zetalisp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zetalisp
Context triple: [Symbolics, developed, 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. 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. Chez Scheme
    Chez Scheme is a high-performance, optimizing implementation of the Scheme programming language widely used for both research and production systems.
  • E. LispWorks
    LispWorks is a commercial, cross-platform integrated development environment and compiler for the Common Lisp programming language, offering advanced tools for application development and deployment.
  • 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_69ca831a4f348190bfdd09250e86ae35 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe4f3a81881908f20514579945ffa completed March 31, 2026, 3:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4dda5230819087ab2509eb958fc2 completed April 2, 2026, 11:07 a.m.
Created at: March 30, 2026, 6:11 p.m.