Triple

T2590374
Position Surface form Disambiguated ID Type / Status
Subject Alex Honnold E58105 entity
Predicate hasNotableQuoteTheme P492 FINISHED
Object rational approach to fear LITERAL 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: rational approach to fear | Statement: [Alex Honnold, hasNotableQuoteTheme, rational approach to fear]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNotableQuoteTheme
Context triple: [Alex Honnold, hasNotableQuoteTheme, rational approach to fear]
  • A. notableQuote chosen
    Indicates that one entity is a significant or well-known quotation attributed to, recorded by, or strongly associated with another entity.
  • B. hasNotableSubject
    Indicates that an entity is associated with a subject that is particularly significant, prominent, or noteworthy in relation to it.
  • C. hasPersonalThemes
    Indicates that something (such as a work, message, or expression) involves themes that are personal, intimate, or directly related to an individual’s own experiences or inner life.
  • D. hasThemeSong
    Indicates that an entity is associated with or characterized by a particular theme song.
  • E. hasNotableFeature
    Indicates that an entity possesses a specific characteristic, trait, or attribute that is considered significant or noteworthy.
  • F. None of above.

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_69ab4ac019c8819094add11c46706e32 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd40075f08190b760cb41c1417169 completed March 7, 2026, 7:30 a.m.
PD Predicate disambiguation batch_69abd0d19308819089ee942513d567a4 completed March 7, 2026, 7:16 a.m.
Created at: March 6, 2026, 9:49 p.m.