Triple

T20935343
Position Surface form Disambiguated ID Type / Status
Subject The boy (narrator of The Cat in the Hat) E515568 entity
Predicate closingQuestionPosed P111446 FINISHED
Object “What would you do if your mother asked you?” 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: “What would you do if your mother asked you?” | Statement: [The boy (narrator of The Cat in the Hat), closingQuestionPosed, “What would you do if your mother asked you?”]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: closingQuestionPosed
Context triple: [The boy (narrator of The Cat in the Hat), closingQuestionPosed, “What would you do if your mother asked you?”]
  • A. closingTopic
    Indicates that one entity brings a discussion, issue, or conversational thread to an end or final resolution.
  • B. openingQuestion
    Indicates that one entity poses an initial or introductory question to another, typically at the start of an interaction or dialogue.
  • C. raisesQuestion
    Indicates that one entity causes or prompts a question or doubt to arise about another entity or topic.
  • D. closedUnder
    Indicates that applying a specified operation to elements within a set always produces a result that is also an element of that same set.
  • E. questionPresented chosen
    Indicates that a question has been posed or displayed to an entity for consideration or response.
  • 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_69e0b4fc13408190b06868df03c5c29b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6f950d5e081908ec0df4824cf69f7 completed April 21, 2026, 4:13 a.m.
PD Predicate disambiguation batch_69e5c9af1fe08190953366a466950140 completed April 20, 2026, 6:37 a.m.
Created at: April 16, 2026, 12:49 p.m.