Triple

T38502991
Position Surface form Disambiguated ID Type / Status
Subject Brian Lackey E919889 entity
Predicate centralThemeAssociatedWith P42994 FINISHED
Object recovery of repressed memories 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: recovery of repressed memories | Statement: [Brian Lackey, centralThemeAssociatedWith, recovery of repressed memories]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: centralThemeAssociatedWith
Context triple: [Brian Lackey, centralThemeAssociatedWith, recovery of repressed memories]
  • A. majorThemeAssociation
    Indicates that one entity is associated with another as a primary or central theme.
  • B. centralThemeConnection chosen
    Indicates a relationship where one element serves as the primary or unifying theme that conceptually links or organizes the other element(s).
  • C. centralThemeContext
    Indicates that one concept serves as the main thematic focus within the situational, narrative, or discourse context defined by another.
  • D. primaryThemeAssociation
    Indicates that one entity is the main or central theme associated with another entity.
  • E. thematicConcept
    Indicates that one entity embodies, expresses, or is centrally concerned with a particular underlying theme or conceptual idea represented by the other 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_69f76e9ddd4481908f8c04439d848f9d completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fe6c811bcc81908b1e1b1f8bcb071b completed May 8, 2026, 11:06 p.m.
PD Predicate disambiguation batch_69fe6c026d5481908b7a814dcf38c183 completed May 8, 2026, 11:04 p.m.
Created at: May 3, 2026, 4:31 p.m.