Triple

T19797340
Position Surface form Disambiguated ID Type / Status
Subject Mary Lennox E475577 entity
Predicate experiencesTransformation P137361 FINISHED
Object emotional growth 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: emotional growth | Statement: [Mary Lennox, experiencesTransformation, emotional growth]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: experiencesTransformation
Context triple: [Mary Lennox, experiencesTransformation, emotional growth]
  • A. experiences
    Indicates that an entity undergoes, feels, or is affected by a particular event, state, or condition.
  • B. laterExperiences
    Indicates that one event, state, or experience occurs after another in time, reflecting subsequent or later experiences relative to an earlier reference point.
  • C. providesExperienceOf
    Indicates that one entity enables or delivers the experience of another entity to someone or something.
  • D. sharesExperiencesIn
    Indicates that one entity communicates or participates in personal or relevant experiences within a particular context, setting, or medium with another entity.
  • E. experientialFocus
    Indicates that the relationship centers on the subjective experience, perception, or felt qualities associated with the related entities or event.
  • F. None of above. chosen

Provenance (4 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_69d8e51b014081908b263e167370529a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e653c877288190b56ee7eedea710a3 completed April 20, 2026, 4:26 p.m.
PD Predicate disambiguation batch_69e5305858108190bbbfdb9ba3ab9f80 completed April 19, 2026, 7:43 p.m.
PDg Predicate description generation batch_69e532bcf41c8190b685b5adf46a60fc completed April 19, 2026, 7:53 p.m.
Created at: April 10, 2026, 1:49 p.m.