Triple

T5531868
Position Surface form Disambiguated ID Type / Status
Subject Rita Skeeter (Harry Potter character portrayal) E145066 entity
Predicate portrayalEmphasizes P49090 FINISHED
Object tabloid-style exaggeration 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: tabloid-style exaggeration | Statement: [Rita Skeeter (Harry Potter character portrayal), portrayalEmphasizes, tabloid-style exaggeration]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: portrayalEmphasizes
Context triple: [Rita Skeeter (Harry Potter character portrayal), portrayalEmphasizes, tabloid-style exaggeration]
  • A. portrayalFeature chosen
    Indicates that one entity serves as a characteristic, aspect, or attribute highlighted in the depiction or representation of another entity.
  • B. portrayalLedTo
    Indicates that one entity’s portrayal of another caused or significantly contributed to a subsequent outcome, reaction, or state involving that other entity.
  • C. portrayalRecognition
    Indicates that one entity recognizes or identifies another entity as a portrayal or representation of a particular subject or character.
  • D. portrayalIntroduced
    Indicates that one entity is introduced or presented as a portrayal or depiction of another entity.
  • E. portrayalReception
    Indicates how a particular portrayal of someone or something is received, evaluated, or responded to by an audience or observers.
  • 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_69c008f9955881909bfa8348b56b4739 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f9d17ec8190b93b12931a4c1b33 completed March 22, 2026, 4:58 p.m.
PD Predicate disambiguation batch_69c01b0c50e48190a1b03ecd20ca440b completed March 22, 2026, 4:38 p.m.
Created at: March 22, 2026, 3:34 p.m.