Triple

T8060404
Position Surface form Disambiguated ID Type / Status
Subject D. Richard Hipp E188104 entity
Predicate programmingLanguageUsed P1592 FINISHED
Object Tcl E216043 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: Tcl | Statement: [D. Richard Hipp, programmingLanguageUsed, Tcl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tcl
Context triple: [D. Richard Hipp, programmingLanguageUsed, Tcl]
  • A. Tcl chosen
    Tcl (Tool Command Language) is a high-level, embeddable scripting language widely used for rapid prototyping, GUI development (often with Tk), and extending applications.
  • B. PL/Tcl
    PL/Tcl is a procedural language extension for PostgreSQL that allows writing database functions and triggers using the Tcl scripting language.
  • C. Tcsh
    Tcsh is an enhanced version of the C shell (csh) for Unix-like systems, featuring command-line editing, programmable completion, and other interactive conveniences.
  • D. NewtonScript
    NewtonScript is an object-oriented, prototype-based programming language developed by Apple for its Newton PDA platform, designed for ease of use in pen-based and mobile applications.
  • E. Tkinter
    Tkinter is Python’s standard GUI toolkit, providing a simple interface to the Tk GUI library for building desktop applications.
  • 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_69ca82b2f68881908c50560697e210da completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3fcc61c0819085edc26e75c5f6d5 completed March 31, 2026, 3:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc572c81508190b6ed39993d0d2aae completed March 31, 2026, 11:22 p.m.
Created at: March 30, 2026, 5:26 p.m.