Triple

T37266458
Position Surface form Disambiguated ID Type / Status
Subject The Great Gazoo E924397 entity
Predicate punishmentReason P58903 FINISHED
Object inventing a doomsday device 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: inventing a doomsday device | Statement: [The Great Gazoo, punishmentReason, inventing a doomsday device]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: punishmentReason
Context triple: [The Great Gazoo, punishmentReason, inventing a doomsday device]
  • A. reasonForPunishment chosen
    Indicates that one entity is the cause, justification, or grounds for another entity receiving a punishment.
  • B. knowsReasonForPunishment
    Indicates that an entity understands the specific reason or cause for a punishment that has been or will be imposed.
  • C. aimOfPunishment
    Indicates that a specified purpose or objective is the intended goal or rationale behind a particular act of punishment.
  • D. pardonReason
    Indicates the reason or justification for which a pardon is granted.
  • E. punishedBy
    Indicates that an entity receives punishment administered by another entity.
  • 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_69f76eabd6c481909d414a80a1345c98 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fb78cbef988190b8f79d946b46e6b2 completed May 6, 2026, 5:22 p.m.
PD Predicate disambiguation batch_69fb5a9ac5a08190b24ef308963fc52b completed May 6, 2026, 3:13 p.m.
Created at: May 3, 2026, 4:15 p.m.