Triple

T11982256
Position Surface form Disambiguated ID Type / Status
Subject King (Cinderella's father-in-law) E285189 entity
Predicate reactionToCinderella P69657 FINISHED
Object overjoyed when she is revealed as the mystery girl 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: overjoyed when she is revealed as the mystery girl | Statement: [King (Cinderella's father-in-law), reactionToCinderella, overjoyed when she is revealed as the mystery girl]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: reactionToCinderella
Context triple: [King (Cinderella's father-in-law), reactionToCinderella, overjoyed when she is revealed as the mystery girl]
  • A. treatmentOfCinderella
    Indicates how one party behaves toward or deals with Cinderella.
  • B. reaction
    Indicates a chemical or physical process in which one set of substances or conditions transforms into another, often involving interaction, change, or response between entities.
  • C. causedReaction
    Indicates that one entity’s action or state brought about a specific reaction or response in another entity.
  • D. reactionToProphecy
    Indicates how an entity responds or behaves in consequence to a given prophecy.
  • E. reactionType chosen
    Indicates the specific kind or category of reaction that occurs between entities or in response to an event or stimulus.
  • 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903acbb9081908fe7f8360057785c completed April 10, 2026, 2:05 p.m.
PD Predicate disambiguation batch_69d902abca70819098291aa51b593708 completed April 10, 2026, 2:01 p.m.
Created at: April 8, 2026, 9:46 p.m.