Triple

T15977441
Position Surface form Disambiguated ID Type / Status
Subject Josh Washington E387483 entity
Predicate motivationInWork P19457 FINISHED
Object revenge prank for his sisters' disappearance 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: revenge prank for his sisters' disappearance | Statement: [Josh Washington, motivationInWork, revenge prank for his sisters' disappearance]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: motivationInWork
Context triple: [Josh Washington, motivationInWork, revenge prank for his sisters' disappearance]
  • A. motivationFor chosen
    Indicates that one entity serves as the reason, drive, or incentive behind another entity’s action, state, or occurrence.
  • B. focusesOnWork
    Indicates that an entity directs its attention, effort, or primary activity toward work-related tasks or responsibilities.
  • C. motivated
    Indicates that one entity provides a reason, drive, or incentive that causes another entity to act or behave in a certain way.
  • D. laterMotivation
    Indicates that one event, state, or action serves as a motivation or reason for another event, state, or action that occurs later in time.
  • E. motivatedByGoal
    Indicates that an action, behavior, or state occurs as a result of an intention to achieve a specific goal or desired outcome.
  • 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_69d86da94ccc819083d187f5dc6a123e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e17d4d08f481909f38b75e3f42d9ab completed April 17, 2026, 12:22 a.m.
PD Predicate disambiguation batch_69e142d9d8e881909b559a3e3ca21d24 completed April 16, 2026, 8:13 p.m.
Created at: April 10, 2026, 4:54 a.m.