Triple

T14444722
Position Surface form Disambiguated ID Type / Status
Subject Mary Woodbridge Goddard E358172 entity
Predicate familyInfluenceArea P114304 FINISHED
Object decorative arts 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: decorative arts | Statement: [Mary Woodbridge Goddard, familyInfluenceArea, decorative arts]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: familyInfluenceArea
Context triple: [Mary Woodbridge Goddard, familyInfluenceArea, decorative arts]
  • A. familyInvolvement
    Indicates that there is participation, engagement, or influence of family members in the context of a particular activity, decision, or situation.
  • B. familyAspect
    Indicates a relationship where one entity is characterized by a particular familial role, status, or aspect in relation to another entity.
  • C. impactOnFamily
    Indicates the effect or influence that something has on a family’s situation, dynamics, or well-being.
  • D. familyContext
    Indicates that the entities are related or associated within a family or household context, such as kinship, caregiving, or shared domestic life.
  • E. familyAlliance
    Indicates a cooperative or supportive relationship formed between families, often involving mutual obligations, shared interests, or joint actions.
  • 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_69d82794dfa081909b9134ad2e32244b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de915e76f481909fe9462f964b5b1c completed April 14, 2026, 7:11 p.m.
PD Predicate disambiguation batch_69de5c3a02fc819097373f97a260cdeb completed April 14, 2026, 3:24 p.m.
PDg Predicate description generation batch_69de5fb4de14819092acdecbd201d672 completed April 14, 2026, 3:39 p.m.
Created at: April 10, 2026, 1:19 a.m.