Triple

T2391948
Position Surface form Disambiguated ID Type / Status
Subject Dani Ardor E48962 entity
Predicate familyEvent P38165 FINISHED
Object suffers the deaths of her parents and sister in a murder-suicide 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: suffers the deaths of her parents and sister in a murder-suicide | Statement: [Dani Ardor, familyEvent, suffers the deaths of her parents and sister in a murder-suicide]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: familyEvent
Context triple: [Dani Ardor, familyEvent, suffers the deaths of her parents and sister in a murder-suicide]
  • A. familyAspect
    Indicates a relationship where one entity is characterized by a particular familial role, status, or aspect in relation to another entity.
  • B. family
    Indicates a familial relationship or connection between entities, such as being related by blood, marriage, or adoption.
  • C. calendarFamily
    Indicates that two calendars are related as part of the same family or grouping, typically sharing common characteristics, structure, or origin.
  • D. familyGroup
    Indicates that multiple entities are related to each other as members of the same family unit or household.
  • E. familyOf
    Indicates a familial relationship exists between the entities, such as by blood, marriage, or adoption.
  • 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_69a88aa5f63081908d07fd302029fcbd completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc87587708190a7f2bc473a898bc2 completed March 7, 2026, 6:40 a.m.
PD Predicate disambiguation batch_69abc5a1b5748190b4cd8989700f4dd2 completed March 7, 2026, 6:28 a.m.
PDg Predicate description generation batch_69abc682d094819081a96ffb77c4c42a completed March 7, 2026, 6:32 a.m.
Created at: March 4, 2026, 7:57 p.m.