Triple

T1041721
Position Surface form Disambiguated ID Type / Status
Subject PHP E22482 entity
Predicate influencedBy P9 FINISHED
Object Perl E95185 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: Perl | Statement: [PHP, influencedBy, Perl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Perl
Context triple: [PHP, influencedBy, Perl]
  • A. Perl chosen
    Perl is a high-level, general-purpose programming language known for its powerful text-processing capabilities and use in system administration, web development, and scripting.
  • B. PDL
    PDL is a former name for USL League Two, a North American pre-professional soccer league that serves as a key development platform for college-aged and aspiring professional players.
  • C. PyPy
    PyPy is a high-performance alternative Python interpreter featuring a Just-In-Time (JIT) compiler designed to significantly speed up the execution of Python programs.
  • D. Python
    Python is a monstrous serpent or dragon from Greek mythology, best known for being slain by the god Apollo at Delphi.
  • E. Python
    Python is a high-level, versatile programming language widely used for data analysis, machine learning, web development, and automation.
  • 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_69a493d91478819094cc01fb65564bc1 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b82f6c14819080277443ea4722dd completed March 1, 2026, 10:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3bc768948190b1cda4eea93fe4b6 completed March 7, 2026, 2:52 p.m.
Created at: March 1, 2026, 7:42 p.m.