Triple

T14085963
Position Surface form Disambiguated ID Type / Status
Subject Children’s Poet E338996 entity
Predicate personHasNotableTheme P7671 FINISHED
Object idealized childhood 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: idealized childhood | Statement: [Children’s Poet, personHasNotableTheme, idealized childhood]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: personHasNotableTheme
Context triple: [Children’s Poet, personHasNotableTheme, idealized childhood]
  • A. notableTheme chosen
    Indicates that a particular theme is prominently featured in, or strongly associated with, an entity such as a work, event, or body of content.
  • B. 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.
  • C. subjectNotableFor
    Indicates that the subject is especially recognized or distinguished for a particular attribute, achievement, role, or characteristic.
  • D. organFamousFor
    Indicates that an organ is widely recognized or notable for a particular characteristic, function, or association.
  • E. fameFor
    Indicates that one entity is widely known or recognized specifically because of, or in connection with, another entity.
  • 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_69d81c687b0c819087fd9ed4198403f8 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5edff1b881909ea56dc2429ef2dd completed April 14, 2026, 3:36 p.m.
PD Predicate disambiguation batch_69de05b0e6c88190a819eeba0028981f completed April 14, 2026, 9:15 a.m.
Created at: April 9, 2026, 10:21 p.m.