Triple

T25831927
Position Surface form Disambiguated ID Type / Status
Subject "Say goodnight, Gracie" closing routine E650685 entity
Predicate dialoguePattern P31437 FINISHED
Object George issues instruction, Gracie responds literally 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: George issues instruction, Gracie responds literally | Statement: ["Say goodnight, Gracie" closing routine, dialoguePattern, George issues instruction, Gracie responds literally]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: dialoguePattern
Context triple: ["Say goodnight, Gracie" closing routine, dialoguePattern, George issues instruction, Gracie responds literally]
  • A. dialogueType chosen
    Indicates the specific kind or category of dialogue occurring between entities (e.g., question-answer, negotiation, instruction).
  • B. dialogueFormat
    Indicates the specific structure or style in which a dialogue or conversational exchange is presented or encoded between entities.
  • C. dialogueWith
    Indicates that two entities are engaged in a mutual conversational exchange or dialogue with each other.
  • D. dialogueDriven
    Indicates that an interaction, narrative, or process is primarily advanced or structured through spoken or written dialogue between participants.
  • E. dialogueFeature
    Indicates that one entity exhibits or involves a particular characteristic, property, or element of a dialogue or conversational exchange with 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_69e7ab37438081908f1ccf6284839520 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f601f26f0c81908f0ee76b955e9806 completed May 2, 2026, 1:53 p.m.
PD Predicate disambiguation batch_69f4938b960081909b53c074a3e0c7c2 completed May 1, 2026, 11:50 a.m.
Created at: April 22, 2026, 7:39 a.m.