Triple

T36853292
Position Surface form Disambiguated ID Type / Status
Subject Marvel Nemesis: Rise of the Imperfects E910725 entity
Predicate hasOriginalCharacters P132665 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: [Marvel Nemesis: Rise of the Imperfects, hasOriginalCharacters, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasOriginalCharacters
Context triple: [Marvel Nemesis: Rise of the Imperfects, hasOriginalCharacters, yes]
  • A. hasOriginalCharacter chosen
    Indicates that an entity includes, features, or is associated with an original character distinct from pre-existing or canonical characters.
  • B. hasOriginalCharacterName
    Indicates that an entity is associated with its initial or primary character name before any changes or adaptations.
  • C. hasOriginalComposition
    Indicates that one entity is the initial or primary compositional source or makeup of another entity.
  • D. hasOriginalWritingSystem
    Indicates that an entity possesses or is associated with a primary, native, or first-developed writing system used to represent its language or content.
  • E. hasOriginalCharacterOwner
    Indicates that an entity is the original owner or creator of a given character.
  • 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_69f76e8033d48190a59274f86f13be48 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69ff0214d7348190904688376df99bce completed May 9, 2026, 9:44 a.m.
PD Predicate disambiguation batch_69feffd62fec8190a855922c8b3c57cf completed May 9, 2026, 9:35 a.m.
Created at: May 3, 2026, 4:13 p.m.