Triple

T33911416
Position Surface form Disambiguated ID Type / Status
Subject Anni-Frid Lyngstad E869323 entity
Predicate upbringingGuardian P8768 FINISHED
Object grandmother 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: grandmother | Statement: [Anni-Frid Lyngstad, upbringingGuardian, grandmother]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: upbringingGuardian
Context triple: [Anni-Frid Lyngstad, upbringingGuardian, grandmother]
  • A. upbringingOf
    Indicates the relationship in which one entity is responsible for raising, nurturing, or providing formative care and guidance to another during its early development.
  • B. upbringing
    Indicates the relationship in which one entity raises, nurtures, and shapes the early development and values of another.
  • C. upbringingControlledBy
    Indicates that one entity has authority over and directs the upbringing or child-rearing process of another entity.
  • D. broughtUpWith
    Indicates that two individuals were raised together in the same household or close familial environment during childhood.
  • E. parentalCare chosen
    Indicates that one entity provides nurturing, protection, or support to another in a parent-like role.
  • 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_69f3499869bc8190b6c33a81686af226 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f7051ad6e4819095e82bbd64761803 completed May 3, 2026, 8:19 a.m.
PD Predicate disambiguation batch_69f700fe24e08190998e2c96fbaaad38 completed May 3, 2026, 8:02 a.m.
Created at: May 1, 2026, 1:48 a.m.