Triple

T5253285
Position Surface form Disambiguated ID Type / Status
Subject Three Broomsticks E118637 entity
Predicate servesInFiction P795 FINISHED
Object butterbeer 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: butterbeer | Statement: [Three Broomsticks, servesInFiction, butterbeer]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: servesInFiction
Context triple: [Three Broomsticks, servesInFiction, butterbeer]
  • A. hasFictionalWork
    Indicates that one entity is the creator, owner, or source of a fictional work associated with another entity.
  • B. residesInFictionalLocation
    Indicates that an entity lives or is based in a location that is explicitly fictional or imaginary.
  • C. appearsIn chosen
    Indicates that an entity is present, featured, or occurs within a particular context, work, or medium.
  • D. hasFictionalUniverseElement
    Indicates that one entity is a component, feature, or constituent part of the fictional universe represented by the other entity.
  • E. hasFictionalRole
    Indicates that an entity plays or is assigned a specific role within a fictional work or 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_69bd446978108190bb5f9c5c23d93f88 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7b7cd7f4819098e591df07564a52 completed March 20, 2026, 4:53 p.m.
PD Predicate disambiguation batch_69bd77c30bac8190a883ca45da35d667 completed March 20, 2026, 4:37 p.m.
Created at: March 20, 2026, 1:50 p.m.