Triple

T37541013
Position Surface form Disambiguated ID Type / Status
Subject Yogg-Saron, Master of Fate E933324 entity
Predicate effectTheme P196267 FINISHED
Object randomness 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: randomness | Statement: [Yogg-Saron, Master of Fate, effectTheme, randomness]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: effectTheme
Context triple: [Yogg-Saron, Master of Fate, effectTheme, randomness]
  • A. abilityTheme
    Indicates that an entity possesses, embodies, or is characterized by a particular ability or capability.
  • B. shapeTheme
    Indicates a relationship where one entity’s form, outline, or geometric characteristics serve as a central motif or organizing principle for another entity.
  • C. textureTheme
    Indicates a characteristic surface quality or pattern that defines the overall tactile or visual feel associated with something.
  • D. impliesTheme
    Indicates that one entity conceptually suggests, hints at, or leads to the thematic presence of another entity.
  • E. themeFor
    Indicates that something serves as the central subject, topic, or focus for another thing (such as an event, work, or activity).
  • 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_69f76ec999288190ae26ec7b6aea7046 completed May 3, 2026, 3:50 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, 4:17 p.m.