Triple

T10347359
Position Surface form Disambiguated ID Type / Status
Subject Rebecca Giblin E243784 entity
Predicate coAuthor P398 FINISHED
Object Cory Doctorow E4400 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: Cory Doctorow | Statement: [Rebecca Giblin, coAuthor, Cory Doctorow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cory Doctorow
Context triple: [Rebecca Giblin, coAuthor, Cory Doctorow]
  • A. Cory Doctorow chosen
    Cory Doctorow is a Canadian-British science fiction author, technology activist, and co-editor of the blog Boing Boing, known for his work on digital rights, copyright reform, and internet freedom.
  • B. Tim May
    Tim May is an American session guitarist known for his work on numerous film soundtracks and recordings across jazz, pop, and rock genres.
  • C. Charles Stross
    Charles Stross is a British science fiction and fantasy author known for his inventive, genre-blending works such as the "Laundry Files" and "Merchant Princes" series.
  • D. Neal Stephenson
    Neal Stephenson is an American speculative fiction author known for his dense, idea-driven novels that blend science, history, technology, and philosophy, such as "Snow Crash" and "Cryptonomicon."
  • E. Andrew Keen
    Andrew Keen is a British-American entrepreneur and author best known as a prominent critic of Web 2.0 culture and the social and economic impacts of the internet.
  • 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9251654819080d1e3f0ed4ee9d3 completed April 7, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69d750879d308190893bd8425aaa49d7 completed April 9, 2026, 7:08 a.m.
Created at: April 6, 2026, 11:56 a.m.