Triple

T14585614
Position Surface form Disambiguated ID Type / Status
Subject King of Hearts (Disney 1951) E342307 entity
Predicate relationshipToQueenOfHearts P114954 FINISHED
Object ineffectual husband 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: ineffectual husband | Statement: [King of Hearts (Disney 1951), relationshipToQueenOfHearts, ineffectual husband]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: relationshipToQueenOfHearts
Context triple: [King of Hearts (Disney 1951), relationshipToQueenOfHearts, ineffectual husband]
  • A. relationshipToPrincess
    Indicates the specific familial, social, or romantic connection that one entity has to a princess.
  • B. relationshipToCatherine
    Indicates the specific familial, social, or interpersonal connection that one entity has to the person named Catherine.
  • C. relationshipToKittyBennet
    Indicates the specific type of personal or familial connection an entity has to Kitty Bennet.
  • D. relationshipWithMiladyDeWinter
    Indicates a personal or interpersonal connection that an entity has with Milady de Winter, such as familial, romantic, adversarial, or other significant relational ties.
  • E. relationshipToOdette
    Indicates the specific familial, social, or interpersonal connection that an entity has with Odette.
  • 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_69d822ddc0f081909cd8163c7de298cd completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb421bb308190a457425429ef6aa5 completed April 14, 2026, 9:39 p.m.
PD Predicate disambiguation batch_69de656a953481909a4645b004c40de7 completed April 14, 2026, 4:03 p.m.
PDg Predicate description generation batch_69de716c17cc8190aeb85296abee85a7 completed April 14, 2026, 4:55 p.m.
Created at: April 10, 2026, 1:24 a.m.