Triple

T21448738
Position Surface form Disambiguated ID Type / Status
Subject Luke Collins E529146 entity
Predicate riskTheme P144386 FINISHED
Object balancing dangerous career with personal life 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: balancing dangerous career with personal life | Statement: [Luke Collins, riskTheme, balancing dangerous career with personal life]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: riskTheme
Context triple: [Luke Collins, riskTheme, balancing dangerous career with personal life]
  • A. riskType
    Indicates the category or nature of risk associated with an entity, event, or relationship.
  • B. risk
    Indicates that one entity is exposed or subject to potential harm, loss, or adverse outcome arising from another entity, action, or situation.
  • C. riskFeature
    Indicates that one entity possesses or exhibits a characteristic, condition, or attribute that increases the likelihood or severity of a negative outcome for another entity or situation.
  • D. riskElement
    Indicates that one entity is a risk-related component, factor, or contributor associated with another entity within a risk context.
  • E. riskTaken
    Indicates that an entity has undertaken an action or decision involving exposure to potential loss, harm, or uncertainty.
  • 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_69e0c457579481909db68053ed99750c completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9e9d11ca48190aafe25c97dfa5578 completed April 23, 2026, 9:43 a.m.
PD Predicate disambiguation batch_69e631df1b38819088d3604854e697b4 completed April 20, 2026, 2:02 p.m.
PDg Predicate description generation batch_69e63d2aca38819094d312078feaa436 completed April 20, 2026, 2:50 p.m.
Created at: April 16, 2026, 6:06 p.m.