Triple

T11638764
Position Surface form Disambiguated ID Type / Status
Subject David Bartlett E276599 entity
Predicate familyBackgroundInStory P13742 FINISHED
Object son of a wealthy farmer 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: son of a wealthy farmer | Statement: [David Bartlett, familyBackgroundInStory, son of a wealthy farmer]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: familyBackgroundInStory
Context triple: [David Bartlett, familyBackgroundInStory, son of a wealthy farmer]
  • A. loveInterestFamilyBackground
    Indicates that information is being provided about the family background of a person's romantic partner or love interest.
  • B. familyContext
    Indicates that the entities are related or associated within a family or household context, such as kinship, caregiving, or shared domestic life.
  • C. familyDescription
    Indicates a descriptive statement that characterizes or summarizes the nature, structure, or dynamics of a family relationship.
  • D. hasFamilyBackgroundIn chosen
    Indicates that an entity comes from, or is associated with, a particular familial or ancestral background.
  • E. familyAspect
    Indicates a relationship where one entity is characterized by a particular familial role, status, or aspect in relation to 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_69d6aafa51148190ab84940694c00235 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a25e90c08190b7fb73939a2be3d7 completed April 10, 2026, 7:10 a.m.
PD Predicate disambiguation batch_69d85dd94bdc819091fa2ed33eb31624 completed April 10, 2026, 2:18 a.m.
Created at: April 8, 2026, 9:39 p.m.