Triple

T17786559
Position Surface form Disambiguated ID Type / Status
Subject This is so contemporary E444030 entity
Predicate temporalForm P128917 FINISHED
Object time-based art 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: time-based art | Statement: [This is so contemporary, temporalForm, time-based art]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: temporalForm
Context triple: [This is so contemporary, temporalForm, time-based art]
  • A. temporal
    Indicates a relationship that situates one event, state, or entity in time relative to another (e.g., before, after, or during).
  • B. temporalAspect
    Indicates the time-related characteristics or phase (such as duration, frequency, or temporal status) associated with an event or relationship.
  • C. temporalConnotation
    Indicates a relationship where something carries, implies, or is associated with a particular sense of time, timing, or temporal context.
  • D. temporality
    Indicates the time-related relationship between events or states, such as their order, duration, or simultaneity.
  • E. hasTemporalRole
    Indicates that an entity participates in a role or function that is defined, constrained, or characterized by a specific time or temporal context.
  • 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_69d8b9ef17708190bdf7e2adbf14ddc2 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e487938418819096016ad717b014e6 completed April 19, 2026, 7:43 a.m.
PD Predicate disambiguation batch_69e3d8d8e538819084f1584426b41d5e completed April 18, 2026, 7:17 p.m.
PDg Predicate description generation batch_69e3db7704588190a34a422421152173 completed April 18, 2026, 7:28 p.m.
Created at: April 10, 2026, 10:12 a.m.