Triple

T34791469
Position Surface form Disambiguated ID Type / Status
Subject King John's Christmas E1002956 entity
Predicate fictionalKingDepicted P50141 FINISHED
Object King John of England (loosely based) NE NERFINISHED

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: King John of England (loosely based) | Statement: [King John's Christmas, fictionalKingDepicted, King John of England (loosely based)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: fictionalKingDepicted
Context triple: [King John's Christmas, fictionalKingDepicted, King John of England (loosely based)]
  • A. appearsInFictionalMonarchy
    Indicates that an entity is featured as part of a fictional monarchy within a narrative work.
  • B. fictionalKingdom
    Indicates that an entity is a kingdom that exists only in fiction or imaginative works, rather than in real-world history.
  • C. fictionalRoyalHouse
    Indicates that an entity belongs to, is associated with, or is a member of a royal house that exists only in fiction.
  • D. fictionalCharacter chosen
    Indicates that one entity is a fictional character that appears within the narrative world of another entity (such as a work, series, or franchise).
  • E. depictsMonarch
    Indicates that one entity visually represents or portrays a monarch in some medium or form.
  • 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_69f76db47d408190a24fc7164439ea2d completed May 3, 2026, 3:45 p.m.
NER Named-entity recognition batch_69fed09a12648190affcd9bacf7ca275 completed May 9, 2026, 6:13 a.m.
PD Predicate disambiguation batch_69fecf91d6f481908deb60c965c433ed completed May 9, 2026, 6:09 a.m.
Created at: May 3, 2026, 3:59 p.m.