Triple

T35067720
Position Surface form Disambiguated ID Type / Status
Subject Be Sweet E1011775 entity
Predicate hasProtagonistFocus P8706 FINISHED
Object Lumpy Space Princess E309307 NE 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: Lumpy Space Princess | Statement: [Be Sweet, hasProtagonistFocus, Lumpy Space Princess]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasProtagonistFocus
Context triple: [Be Sweet, hasProtagonistFocus, Lumpy Space Princess]
  • A. hasProtagonist chosen
    Indicates that a work of narrative has a main character who serves as its central focus or driving agent.
  • B. hasMainProtagonistTrait
    Indicates that the specified trait is a defining or primary characteristic of the main protagonist.
  • C. usesFirstPersonNarrator
    Indicates that a narrative work is told from the perspective of an "I" character who is part of the story.
  • D. hasSpyProtagonist
    Indicates that the main character in the work is a spy or primarily engaged in espionage activities.
  • E. hasSpiritProtagonist
    Indicates that the primary or central character in a narrative is a spirit or non-corporeal being.
  • F. None of above.

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_6a0357f9670081908a7ba1cd46a0b46a completed May 12, 2026, 4:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38682e25348190bed03618371f6dd9 completed June 21, 2026, 10:39 p.m.
PD Predicate disambiguation batch_6a03575e3258819093303248d1569f95 completed May 12, 2026, 4:37 p.m.
Created at: May 3, 2026, 4:01 p.m.