Triple

T27983866
Position Surface form Disambiguated ID Type / Status
Subject Frieze Art Fair E706693 entity
Predicate hasSisterEvent P114562 FINISHED
Object Frieze Masters
Frieze Masters is an art fair in London that focuses on historical art, showcasing works from ancient to modern periods in dialogue with contemporary practice.
 E706693 NE FINISHED

How this triple was built (3 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: Frieze Masters | Statement: [Frieze Art Fair, hasSisterEvent, Frieze Masters]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Frieze Masters
Triple: [Frieze Art Fair, hasSisterEvent, Frieze Masters]
Generated description
Frieze Masters is an art fair in London that focuses on historical art, showcasing works from ancient to modern periods in dialogue with contemporary practice.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasSisterEvent
Context triple: [Frieze Art Fair, hasSisterEvent, Frieze Masters]
  • A. hasCompanionEvent chosen
    Indicates that one event is associated with another event that occurs alongside it as a related or accompanying occurrence.
  • B. sisterFestivalOf
    Indicates a relationship where two festivals are formally recognized as counterparts or partners, often sharing similar themes, origins, or collaborative ties.
  • C. hasSister
    Indicates that one entity is the sister of another entity.
  • D. sisterConference
    Indicates that two conferences are related as sister events, typically sharing similar themes, organizers, or structures while remaining distinct occurrences.
  • E. hasEventSeries
    Indicates that an entity is associated with, or participates in, a sequence of related events forming a series.
  • F. None of above.

Provenance (6 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_69ef96b8b8d88190bad5e4ae966bf14e completed April 27, 2026, 5:02 p.m.
NER Named-entity recognition batch_69f6e6029a10819098ff21f58079e70e completed May 3, 2026, 6:06 a.m.
NED1 Entity disambiguation (via context triple) batch_6a15e6926ae88190b032e5b55f59ece8 completed May 26, 2026, 6:29 p.m.
NEDg Description generation batch_6a15e740ebcc8190b862c2e82830c190 completed May 26, 2026, 6:32 p.m.
NED2 Entity disambiguation (via description) batch_6a15ea29e18c8190960e302799684656 completed May 26, 2026, 6:44 p.m.
PD Predicate disambiguation batch_69f6e3d5e8188190b1e1c2e5d1b77031 completed May 3, 2026, 5:57 a.m.
Created at: April 27, 2026, 7:46 p.m.