Triple

T38070891
Position Surface form Disambiguated ID Type / Status
Subject Darkseid War E950585 entity
Predicate featuresCharacterTransformation P112426 FINISHED
Object Batman as the God of Knowledge 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: Batman as the God of Knowledge | Statement: [Darkseid War, featuresCharacterTransformation, Batman as the God of Knowledge]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: featuresCharacterTransformation
Context triple: [Darkseid War, featuresCharacterTransformation, Batman as the God of Knowledge]
  • A. featuresCharacterWith
    Indicates that one entity (such as a work or product) includes or presents a particular character as part of its content.
  • B. featuresReturningCharacterFrom
    Indicates that a work includes the reappearance of a character who previously appeared in the referenced source work.
  • C. featuresCharacterVariant
    Indicates that one entity includes or presents an alternative or variant form of a character represented by another entity.
  • D. protagonistTransformation chosen
    Indicates a change or evolution that the main character undergoes, typically altering their traits, beliefs, or role over the course of a narrative.
  • E. featuresCharactersFrom
    Indicates that one entity (such as a work or production) includes or presents characters originating from another entity.
  • 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_69f76f02a6c48190a94f3c0b3ee90cf2 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_6a037df1223c8190a5d61e4f8e6fd613 completed May 12, 2026, 7:22 p.m.
PD Predicate disambiguation batch_6a037a1ad6c48190bfe35d350c1b4751 completed May 12, 2026, 7:06 p.m.
Created at: May 3, 2026, 4:21 p.m.