Triple

T19893560
Position Surface form Disambiguated ID Type / Status
Subject Adaptive Path E478090 entity
Predicate hasNotableMember P304 FINISHED
Object Peter Merholz 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: Peter Merholz | Statement: [Adaptive Path, hasNotableMember, Peter Merholz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Merholz
Context triple: [Adaptive Path, hasNotableMember, Peter Merholz]
  • A. Peter Merholz chosen
    Peter Merholz is a user experience designer, writer, and entrepreneur best known as a co-founder of the influential UX consultancy Adaptive Path and for popularizing the term "blog."
  • B. Robert Scheifler
    Robert Scheifler is a computer scientist best known for leading the development of the X Window System at MIT.
  • C. Philip Steuer
    Philip Steuer is a film producer best known for his work on major studio projects, including the Disney drama "Saving Mr. Banks."
  • D. Douglas Kahn
    Douglas Kahn is a cultural and media historian known for his influential work on sound, radio, and the arts, particularly in relation to experimental and avant-garde practices.
  • E. Edward Neumeier
    Edward Neumeier is an American screenwriter and producer best known for writing the science fiction films RoboCop and Starship Troopers.
  • 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_69d8e51f32b08190b3687f4f60353250 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6590f9eb481909104a6a404c5c331 completed April 20, 2026, 4:49 p.m.
Created at: April 10, 2026, 1:52 p.m.