Triple

T4111453
Position Surface form Disambiguated ID Type / Status
Subject Ken Arok E88582 entity
Predicate mythologized P54696 FINISHED
Object yes 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: yes | Statement: [Ken Arok, mythologized, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mythologized
Context triple: [Ken Arok, mythologized, yes]
  • A. mythologicalEvent
    Indicates an event or occurrence that takes place within mythological narratives or traditions, often involving gods, heroes, or supernatural phenomena.
  • B. mythologicalGeneration
    Indicates a generational relationship in mythology, where one mythological being or group descends from or follows another in a lineage or succession.
  • C. expandsMythologyOf
    Indicates that one entity broadens, enriches, or adds new elements to the mythological background or lore associated with another entity.
  • D. originMyth
    Indicates the traditional myth or legendary narrative that explains the beginnings or creation of a people, place, institution, or phenomenon.
  • E. languageOfMyths
    Indicates that the subject is the language in which the myths associated with the object are told or recorded.
  • 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_69aed9484fb881909146f4c772ad277c completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af03d7240c8190a64dcbc669772808 completed March 9, 2026, 5:31 p.m.
PD Predicate disambiguation batch_69af0183eb84819087d7184de28f5514 completed March 9, 2026, 5:21 p.m.
PDg Predicate description generation batch_69af03d5cce88190ad53bc6cfe10b21e completed March 9, 2026, 5:31 p.m.
Created at: March 9, 2026, 3:41 p.m.