Triple

T5922723
Position Surface form Disambiguated ID Type / Status
Subject Ryan Dahl E131735 entity
Predicate name P16 FINISHED
Object Ryan Dahl E131735 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: Ryan Dahl | Statement: [Ryan Dahl, name, Ryan Dahl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ryan Dahl
Context triple: [Ryan Dahl, name, Ryan Dahl]
  • A. Ryan Dahl chosen
    Ryan Dahl is an American software engineer best known for creating the Node.js JavaScript runtime and later the Deno runtime.
  • B. David Heinemeier Hansson
    David Heinemeier Hansson is a Danish programmer, entrepreneur, and author best known as the creator of the Ruby on Rails web framework and co-founder of the software company Basecamp.
  • C. Ray Duquette
    Ray Duquette is a central character in the 1998 neo-noir thriller film "Wild Things," known as a manipulative and morally ambiguous police officer entangled in a complex web of deceit and betrayal.
  • D. Brendan Eich
    Brendan Eich is an American technologist best known as the creator of the JavaScript programming language and a co-founder of the Mozilla project, Mozilla Foundation, and Mozilla Corporation.
  • E. Alex Heineman
    Alex Heineman is a film producer known for his work on the historical thriller "Operation Finale" and other feature films.
  • 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_69c0085a1ed08190a7e9a8b6323fd680 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03804d9808190829a418adb7864aa completed March 22, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0c0483e3481908e50f8b34b11a878 completed March 23, 2026, 4:23 a.m.
Created at: March 22, 2026, 4 p.m.