Triple

T23155484
Position Surface form Disambiguated ID Type / Status
Subject Everyday Scripting with Ruby E578424 entity
Predicate author P4 FINISHED
Object Brian Marick NE NERFINISHED

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: Brian Marick | Statement: [Everyday Scripting with Ruby, author, Brian Marick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brian Marick
Context triple: [Everyday Scripting with Ruby, author, Brian Marick]
  • A. Brian Marick chosen
    Brian Marick is a software tester, author, and consultant known for his influential role in the Agile software development movement and as one of the original signatories of the Agile Manifesto.
  • B. Brian Shute
    Brian Shute is the fearsome, highly disciplined high school wrestling champion who serves as the main rival to protagonist Louden Swain in the film "Vision Quest."
  • C. Michael Forsyth
    Michael Forsyth is a British Conservative politician who served as Secretary of State for Scotland in the 1990s and was later elevated to the House of Lords.
  • D. Brian MacDevitt
    Brian MacDevitt is a Tony Award–winning American lighting designer renowned for his work on numerous high-profile Broadway productions.
  • E. Paul Cornell
    Paul Cornell is a British writer best known for his work in science fiction and fantasy, including novels, comics, and television scripts such as for Doctor Who.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245fb8de081908f0eba7b5fd75bc4 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18efca1f081908ff1c34ba25f40c3 completed April 29, 2026, 4:54 a.m.
Created at: April 17, 2026, 4:01 p.m.