Triple

T33350438
Position Surface form Disambiguated ID Type / Status
Subject Commissioner Charles Dreyfus E853918 entity
Predicate causeOfInsanity P694 FINISHED
Object frustration with Inspector Clouseau 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: frustration with Inspector Clouseau | Statement: [Commissioner Charles Dreyfus, causeOfInsanity, frustration with Inspector Clouseau]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: causeOfInsanity
Context triple: [Commissioner Charles Dreyfus, causeOfInsanity, frustration with Inspector Clouseau]
  • A. causeOf chosen
    Indicates that one entity brings about, produces, or is responsible for the occurrence or existence of another entity or event.
  • B. causeOfCompulsion
    Indicates that one entity is the reason or driving factor behind another entity’s sense of compulsion or irresistible urge to act.
  • C. asterismCause
    Indicates a causal relationship where one entity brings about or is responsible for the occurrence or formation of an asterism.
  • D. causeCélèbre
    Indicates a relationship where an event, issue, or person becomes widely known and intensely debated or celebrated in public discourse.
  • E. causeInStory
    Indicates that one event, action, or state functions as the cause of another within the narrative structure of a story.
  • 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_69f3496acbc8819099fd0305ecc42080 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69fcd867f36081908c88c55a6a1404c1 completed May 7, 2026, 6:22 p.m.
PD Predicate disambiguation batch_69fcd1f47b188190b4cf4b4c748d9d03 completed May 7, 2026, 5:55 p.m.
Created at: May 1, 2026, 1:34 a.m.