Triple

T10826508
Position Surface form Disambiguated ID Type / Status
Subject Programming Perl E255509 entity
Predicate coAuthor P398 FINISHED
Object Randal L. Schwartz E887836 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: Randal L. Schwartz | Statement: [Programming Perl, coAuthor, Randal L. Schwartz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Randal L. Schwartz
Context triple: [Programming Perl, coAuthor, Randal L. Schwartz]
  • A. Randal L. Schwartz chosen
    Randal L. Schwartz is a prominent Perl programmer, author, and trainer best known for his influential books and advocacy within the Perl community.
  • B. Larry Wall
    Larry Wall is an American programmer and linguist best known as the creator of the Perl programming language and a prominent figure in the free and open-source software community.
  • C. David Heitner
    David Heitner is a film editor known for his work on the South African musical drama film "Sarafina!".
  • D. Bruce Perens
    Bruce Perens is a prominent open-source advocate and co-founder of the Open Source Initiative, known for authoring the Debian Free Software Guidelines and the Open Source Definition.
  • E. David Flanagan
    David Flanagan is a software developer and technical author best known for his widely used programming books, including "JavaScript: The Definitive Guide."
  • 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_69d6aa8081448190a9324184f2bd1c26 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d734d1c24881909f56d56207cccbef completed April 9, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb1096cbc81908f3eda562c2da042 completed April 14, 2026, 9:26 p.m.
Created at: April 8, 2026, 9:19 p.m.