Triple

T12514651
Position Surface form Disambiguated ID Type / Status
Subject printf E299164 entity
Predicate implementation P1417 FINISHED
Object GNU printf E299164 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: GNU printf | Statement: [printf, implementation, GNU printf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GNU printf
Context triple: [printf, implementation, GNU printf]
  • A. printf chosen
    printf is a command-line utility in Unix-like systems used to format and print data according to specified format strings.
  • B. GNU Gnulib
    GNU Gnulib is a portability and utility library for the GNU system that provides reusable code modules to help software run consistently across different Unix-like platforms.
  • C. GNU C Library
    The GNU C Library (glibc) is the GNU Project’s core implementation of the standard C library, providing fundamental system call wrappers and APIs used by most GNU/Linux and Unix-like systems.
  • D. Groff
    Groff is a surname most prominently associated with American actor and singer Jonathan Groff, known for his work in musical theatre, television, and film.
  • E. GFtoDVI utility
    The GFtoDVI utility is a program that converts METAFONT-generated generic font (GF) files into DVI (DeVice Independent) files for previewing and debugging fonts.
  • 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_69d6ada5cdd48190860d9ce30aff69be completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9541e752c8190bf12d2b5a37b53df completed April 10, 2026, 7:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64bbba5fc819082a4171a5a77183a completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:57 p.m.