Triple

T26616850
Position Surface form Disambiguated ID Type / Status
Subject Kevin Wendell Crumb E668083 entity
Predicate traumaBackstory P16448 FINISHED
Object childhood abuse by his mother 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: childhood abuse by his mother | Statement: [Kevin Wendell Crumb, traumaBackstory, childhood abuse by his mother]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: traumaBackstory
Context triple: [Kevin Wendell Crumb, traumaBackstory, childhood abuse by his mother]
  • A. trauma
    Indicates that an entity has experienced a deeply distressing or harmful event or series of events that cause lasting psychological or emotional impact.
  • B. traumaTheme
    Indicates that the relationship or context involves themes of trauma, such as psychological injury, distressing experiences, or their emotional and narrative impact.
  • C. hasTragicPast chosen
    Indicates that an entity has experienced a significantly sorrowful or traumatic history that influences its present state or characterization.
  • D. expandsBackstoryOf
    Indicates that one entity provides additional background details or context that elaborate on the history or origins of another entity.
  • E. traumaLevel
    Indicates the degree or severity of trauma experienced or present in relation to an entity or event.
  • 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_69ee9cfe16088190a3dddd68e3c7b1ea completed April 26, 2026, 11:17 p.m.
NER Named-entity recognition batch_69f615acd3888190959a506353263558 completed May 2, 2026, 3:18 p.m.
PD Predicate disambiguation batch_69f60b8bb0d08190ab5a9a2a8847c6f4 completed May 2, 2026, 2:34 p.m.
Created at: April 27, 2026, 2:19 a.m.