Triple

T33499463
Position Surface form Disambiguated ID Type / Status
Subject 赵婷 E857949 entity
Predicate 早年经历 P171792 FINISHED
Object 曾在英国寄宿学校就读 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: 曾在英国寄宿学校就读 | Statement: [赵婷, 早年经历, 曾在英国寄宿学校就读]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 早年经历
Context triple: [赵婷, 早年经历, 曾在英国寄宿学校就读]
  • A. placeOfUpbringing
    Indicates the location where an individual was raised or spent most of their formative years.
  • B. playedEarlyYearsOf
    Indicates that one entity portrayed or acted as the younger/early-life version of another entity in a performance or production.
  • C. 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.
  • D. beforeBecoming
    Indicates that one state, role, or condition existed or occurred prior to another state, role, or condition coming into effect.
  • E. educationInBackstory chosen
    Indicates that an entity’s educational experiences or qualifications are part of its narrative background or origin story.
  • 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_69f3497660508190a541826a81f7e9ab completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6e56e373481909502b961265cd68d completed May 3, 2026, 6:04 a.m.
PD Predicate disambiguation batch_69f6e3db74c081909a991309d835d477 completed May 3, 2026, 5:57 a.m.
Created at: May 1, 2026, 1:38 a.m.