Triple

T10466345
Position Surface form Disambiguated ID Type / Status
Subject Friday Night Dinner E246805 entity
Predicate hasRecurringGag P94189 FINISHED
Object Jim’s fear of the Goodman family dog 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: Jim’s fear of the Goodman family dog | Statement: [Friday Night Dinner, hasRecurringGag, Jim’s fear of the Goodman family dog]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRecurringGag
Context triple: [Friday Night Dinner, hasRecurringGag, Jim’s fear of the Goodman family dog]
  • A. hasRecurringRole
    Indicates that an entity repeatedly appears or participates in a role within an ongoing or multiple related contexts over time.
  • B. canIncludeGagOrder
    Indicates that a legal order or agreement has the authority to contain a provision restricting parties from publicly disclosing certain information (a gag order).
  • C. recurringDuring
    Indicates that an event or state happens repeatedly within the time span or context defined by another event or interval.
  • D. useCriminalizedUnderGagLaw
    Indicates that the act of using something is treated as a criminal offense under a specific gag law or speech-restricting legal provision.
  • E. hasRecurringSeriesProtagonists
    Indicates that a recurring series features one or more protagonists who appear repeatedly across its installments.
  • 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5092d6d408190b6bda4d7ced4601e completed April 7, 2026, 1:39 p.m.
PD Predicate disambiguation batch_69d4fb84bafc8190819757b93620508a completed April 7, 2026, 12:41 p.m.
PDg Predicate description generation batch_69d4fe058fcc81909428137d9ffd6d90 completed April 7, 2026, 12:52 p.m.
Created at: April 6, 2026, 12:19 p.m.