Triple

T3435533
Position Surface form Disambiguated ID Type / Status
Subject Romana E72441 entity
Predicate hasRegeneration P48105 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: [Romana, hasRegeneration, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRegeneration
Context triple: [Romana, hasRegeneration, yes]
  • A. regenerationAbility
    Indicates the capability of an entity to restore or regrow lost or damaged parts of itself.
  • B. hasMultipleRegenerations
    Indicates that an entity has undergone more than one process of regeneration or renewal.
  • C. regenerationStartedIn
    Indicates that a regeneration process was initiated or began within a specified location, context, or time frame.
  • D. featuresRegeneration chosen
    Indicates that an entity possesses the ability to regenerate or regrow lost or damaged parts.
  • E. regenerationRetcon
    Indicates a continuity-altering change where a character’s regeneration or renewal is retroactively modified, redefined, or overwritten in the narrative.
  • 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_69ad85af50288190a854b76653deee6f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb9f2e4b4819085336fb539daf3c7 completed March 8, 2026, 6:03 p.m.
PD Predicate disambiguation batch_69adae00ad588190bef24373b58a2e1a completed March 8, 2026, 5:12 p.m.
Created at: March 8, 2026, 3:16 p.m.