Triple

T17275859
Position Surface form Disambiguated ID Type / Status
Subject soft energy path E419390 entity
Predicate wasProposedBy P32 FINISHED
Object Amory Lovins E86515 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: Amory Lovins | Statement: [soft energy path, wasProposedBy, Amory Lovins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amory Lovins
Context triple: [soft energy path, wasProposedBy, Amory Lovins]
  • A. Amory B. Lovins chosen
    Amory B. Lovins is an American physicist and environmentalist known for his pioneering work in energy efficiency, renewable energy, and sustainable design.
  • B. Andrew Winston
    Andrew Winston is a sustainability expert and author known for his influential work on corporate environmental strategy and coauthoring books with former Unilever CEO Paul Polman.
  • C. Robert Hirsch
    Robert Hirsch was a prominent French actor known for his work in theatre, film, and television, particularly as a member of the Comédie-Française.
  • D. Jonathan Koomey
    Jonathan Koomey is an energy and environmental researcher best known for formulating Koomey’s law, which describes the long-term trend of improving energy efficiency in computing.
  • E. James Gustave Speth
    James Gustave Speth is an American environmental lawyer, policy expert, and academic known for his leadership in global sustainability and environmental advocacy.
  • 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_69d886da626481908a14ce7830329a35 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e4332625c48190a25bf51543d797c3 completed April 19, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a018c3e50ac8190bcbe7f2b77bee4b7 completed May 11, 2026, 7:58 a.m.
Created at: April 10, 2026, 5:40 a.m.