Triple

T428726
Position Surface form Disambiguated ID Type / Status
Subject Rip Van Winkle E9666 entity
Predicate protagonistStatusAfterSleep P13813 FINISHED
Object citizen of the United States 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: citizen of the United States | Statement: [Rip Van Winkle, protagonistStatusAfterSleep, citizen of the United States]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: protagonistStatusAfterSleep
Context triple: [Rip Van Winkle, protagonistStatusAfterSleep, citizen of the United States]
  • A. mainProtagonist
    Indicates that the subject is the central character or primary focus in the narrative of the related work.
  • B. hasProtagonist
    Indicates that a work of narrative has a main character who serves as its central focus or driving agent.
  • C. turnedPro
    Indicates that an individual transitioned from amateur status to professional status in a particular field or activity.
  • D. regainedPowerAgainIn
    Indicates that an entity, having previously lost power, has once more returned to a position of power or control within a specified context or location.
  • E. successorStateRole
    Indicates that one role represents the state or position that directly follows and replaces another role in a sequence or process.
  • 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_69a2e801e1d48190b505d1dd336b52ac completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2eeecb64c81908c5c83ef7c0181e6 completed Feb. 28, 2026, 1:34 p.m.
PD Predicate disambiguation batch_69a2edd7a3608190b8785c7b7205f6c1 completed Feb. 28, 2026, 1:29 p.m.
PDg Predicate description generation batch_69a2eeb93584819082f23eff13e17c4f completed Feb. 28, 2026, 1:33 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.