Triple

T10366306
Position Surface form Disambiguated ID Type / Status
Subject The Ritual E244258 entity
Predicate monsterType P18265 FINISHED
Object Jötunn-like entity 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: Jötunn-like entity | Statement: [The Ritual, monsterType, Jötunn-like entity]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: monsterType
Context triple: [The Ritual, monsterType, Jötunn-like entity]
  • A. featuresMonster
    Indicates that something includes or prominently presents a monster as part of its content or composition.
  • B. enemyType
    Indicates that one entity is classified as an enemy of a specified type or category in relation to another entity.
  • C. mainMonsterDescription chosen
    Indicates the primary descriptive text that characterizes the main monster in a given context or scenario.
  • D. slayedCreatureType
    Indicates that an entity has killed or defeated a creature of a specified type.
  • E. enemySpecies
    Indicates that two species are in an antagonistic or hostile relationship, typically viewing each other as enemies.
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e96f25f48190a41c8b0206b9238c completed April 7, 2026, 11:24 a.m.
PD Predicate disambiguation batch_69d4dface5508190a7b42f01ad0a19a2 completed April 7, 2026, 10:42 a.m.
Created at: April 6, 2026, noon