Triple

T30152764
Position Surface form Disambiguated ID Type / Status
Subject Rachel Creed E766436 entity
Predicate caredForCondition P28603 FINISHED
Object terminal illness 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: terminal illness | Statement: [Rachel Creed, caredForCondition, terminal illness]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: caredForCondition
Context triple: [Rachel Creed, caredForCondition, terminal illness]
  • A. sufferedCondition
    Indicates that an entity experienced or was afflicted by a particular condition, typically adverse or harmful, at some point in time.
  • B. requiresCare
    Indicates that one entity depends on another to provide care, attention, or maintenance for its proper functioning or well-being.
  • C. tookCareOf chosen
    Indicates that one entity provided care, support, or maintenance for another entity over a period of time.
  • D. conditionForSparing
    Indicates that one entity specifies the circumstances under which another entity is exempted from harm, penalty, or adverse action.
  • E. conditions
    Indicates that one entity specifies or imposes requirements, constraints, or circumstances that must be satisfied or hold true for another entity or situation.
  • 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_69f22479cd088190ab4c6f3fce39d1c5 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f67ed4df5081908d1431e3a1a1fb0e completed May 2, 2026, 10:46 p.m.
PD Predicate disambiguation batch_69f673c7a4588190837854f3ef61e6bf completed May 2, 2026, 9:59 p.m.
Created at: April 29, 2026, 7:20 p.m.