Triple

T25804449
Position Surface form Disambiguated ID Type / Status
Subject Tom Avery E649925 entity
Predicate spiritualJourneyTheme P160688 FINISHED
Object grief and reconciliation 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: grief and reconciliation | Statement: [Tom Avery, spiritualJourneyTheme, grief and reconciliation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: spiritualJourneyTheme
Context triple: [Tom Avery, spiritualJourneyTheme, grief and reconciliation]
  • A. spiritualQuest
    Indicates a process in which an entity actively seeks deeper spiritual understanding, growth, or enlightenment.
  • B. mysticalTheme
    Indicates that the subject is associated with or characterized by mystical, supernatural, or esoteric themes.
  • C. spiritualityType
    Indicates the specific kind or category of spirituality associated with an entity.
  • D. spiritualMeans
    Indicates that one entity serves as a spiritual method, medium, or pathway through which another entity attains or engages in a spiritual state, goal, or practice.
  • E. spiritualityCharacteristic
    Indicates that one entity possesses, exhibits, or is defined by a spiritual quality, trait, or aspect in relation to another.
  • 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_69e7ab35d264819095367f7e80c983ff completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f60459a53c8190bbd90e80890eebcd completed May 2, 2026, 2:04 p.m.
PD Predicate disambiguation batch_69f602d07590819085ac34b189613104 completed May 2, 2026, 1:57 p.m.
PDg Predicate description generation batch_69f603b90c94819088d62cb9489e95ff completed May 2, 2026, 2:01 p.m.
Created at: April 22, 2026, 7:01 a.m.