Triple

T27607994
Position Surface form Disambiguated ID Type / Status
Subject The Monarch E700232 entity
Predicate nemesisRelationshipType P16446 FINISHED
Object arch-enemy of Dr. Venture 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: arch-enemy of Dr. Venture | Statement: [The Monarch, nemesisRelationshipType, arch-enemy of Dr. Venture]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: nemesisRelationshipType
Context triple: [The Monarch, nemesisRelationshipType, arch-enemy of Dr. Venture]
  • A. hasFriendEnemyRelationshipWith
    Indicates a relationship where two entities are simultaneously connected as both friends and enemies, reflecting a mixed or ambivalent association between them.
  • B. nemesisMeaning
    Indicates that one entity is the arch-enemy or long-standing adversary of another.
  • C. laterEnemyOf
    Indicates that one entity becomes an enemy of another at a later time, after not initially being in an antagonistic relationship.
  • D. relationshipWithAntagonist
    Indicates a relationship or connection that an entity has with an opposing or adversarial figure in a narrative or context.
  • E. archenemyOf chosen
    Indicates a relationship in which one entity is the principal or most important enemy of another, often characterized by deep, ongoing opposition or rivalry.
  • 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_69ef6a4e2e208190b63b7268f405785c completed April 27, 2026, 1:53 p.m.
NER Named-entity recognition batch_69f6309ccc488190a068cedfc5d740fd completed May 2, 2026, 5:13 p.m.
PD Predicate disambiguation batch_69f62c1921008190a62675a31f66a875 completed May 2, 2026, 4:53 p.m.
Created at: April 27, 2026, 2:10 p.m.