Triple

T24763498
Position Surface form Disambiguated ID Type / Status
Subject Cosy Moments E619515 entity
Predicate fictionalReputation P28732 FINISHED
Object sensational and controversial during Psmith’s tenure 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: sensational and controversial during Psmith’s tenure | Statement: [Cosy Moments, fictionalReputation, sensational and controversial during Psmith’s tenure]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: fictionalReputation
Context triple: [Cosy Moments, fictionalReputation, sensational and controversial during Psmith’s tenure]
  • A. hasReputationInFiction chosen
    Indicates that an entity is known or regarded in a particular way within fictional works or narratives.
  • B. fictionalStatus
    Indicates that an entity exists only in imagination or narrative and does not correspond to a real-world counterpart.
  • C. fictionalSon
    Indicates that one entity is portrayed as the son of another entity within a fictional or narrative context.
  • D. fictionalOrigin
    Indicates that one entity originates from, or was first introduced within, a fictional work, universe, or narrative created by another entity.
  • E. fictionalizationOf
    Indicates that one entity is a fictional or dramatized representation, adaptation, or reimagining of another (typically real or earlier) entity or event.
  • 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_69e2fabbea94819092ed41348909622f completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f464b4c9b0819085daa00c7c3b8b76 completed May 1, 2026, 8:30 a.m.
PD Predicate disambiguation batch_69f45cf017a88190b4985b11159c907d completed May 1, 2026, 7:57 a.m.
Created at: April 18, 2026, 4:28 a.m.