Triple

T18389992
Position Surface form Disambiguated ID Type / Status
Subject Transito Ariza E449696 entity
Predicate relationshipToFlorentinoAriza P130944 FINISHED
Object mother and primary caregiver 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: mother and primary caregiver | Statement: [Transito Ariza, relationshipToFlorentinoAriza, mother and primary caregiver]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: relationshipToFlorentinoAriza
Context triple: [Transito Ariza, relationshipToFlorentinoAriza, mother and primary caregiver]
  • A. literaryRelationship
    Indicates a relationship between entities that are connected through literature, such as authorship, influence, adaptation, or other text-based associations.
  • B. roleInRomeoAndJuliet
    Indicates the specific character or part that an entity plays in the work "Romeo and Juliet."
  • C. characterActorRelationship
    Indicates a relationship where an actor portrays or is associated with a specific character in a work.
  • D. relationshipToTheMiller'sTale
    Indicates a relationship in which something is connected or relevant to "The Miller's Tale," such as being about it, derived from it, or otherwise associated with it.
  • E. relationshipToGustav von Aschenbach
    Indicates the specific type of personal, social, or emotional connection an entity has to Gustav von Aschenbach.
  • 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_69d8b9fab8a8819086a9ddc0871715e0 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e518416bc48190a20fa66c43d545d9 completed April 19, 2026, 6 p.m.
PD Predicate disambiguation batch_69e44ff1f92c8190afbb8e85d12bf2a9 completed April 19, 2026, 3:45 a.m.
PDg Predicate description generation batch_69e451a1bda48190a9cd1db436d4be62 completed April 19, 2026, 3:53 a.m.
Created at: April 10, 2026, 10:46 a.m.