Triple

T35067547
Position Surface form Disambiguated ID Type / Status
Subject Prisoners of Love E1011770 entity
Predicate introducesCharacterTrait P196259 FINISHED
Object Ice King’s obsession with kidnapping princesses 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: Ice King’s obsession with kidnapping princesses | Statement: [Prisoners of Love, introducesCharacterTrait, Ice King’s obsession with kidnapping princesses]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: introducesCharacterTrait
Context triple: [Prisoners of Love, introducesCharacterTrait, Ice King’s obsession with kidnapping princesses]
  • A. childCharacterTrait
    Indicates that a child possesses or exhibits a particular character trait.
  • B. associatedCharacterTrait
    Indicates a relationship where a character is linked to, or described by, a particular trait or quality.
  • C. secondaryCharacterTrait
    Indicates that a secondary or supporting character possesses a particular attribute, quality, or personality trait.
  • D. protagonistCharacteristic
    Indicates that a characteristic, trait, or defining quality is attributed to the protagonist in a narrative or scenario.
  • E. introducesFictionalCharacter
    Indicates that one entity is responsible for first presenting or bringing a fictional character into a narrative work or story.
  • 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_69f76dd193108190af2528186f25b72a completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69fe189fec148190aeef51b417ba15b0 completed May 8, 2026, 5:08 p.m.
PD Predicate disambiguation batch_69fe17285b0881908de7569d8dbd20bd completed May 8, 2026, 5:02 p.m.
PDg Predicate description generation batch_69fe189f2ea48190b8c4718f1353970e completed May 8, 2026, 5:08 p.m.
Created at: May 3, 2026, 4:01 p.m.