Triple

T4483088
Position Surface form Disambiguated ID Type / Status
Subject Bill Viola E100176 entity
Predicate name P16 FINISHED
Object Bill Viola E100176 NE 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: Bill Viola | Statement: [Bill Viola, name, Bill Viola]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bill Viola
Context triple: [Bill Viola, name, Bill Viola]
  • A. Bill Viola chosen
    Bill Viola is an American contemporary video artist renowned for his immersive, slow-motion installations that explore themes of perception, spirituality, and the human condition.
  • B. Tony Oursler
    Tony Oursler is an American multimedia and installation artist best known for his pioneering video projections onto sculptural forms that explore psychology, technology, and mass media.
  • C. Douglas Gordon
    Douglas Gordon is a Scottish contemporary artist renowned for his conceptual video and film installations that explore themes of memory, time, and psychological tension.
  • D. Nam June Paik
    Nam June Paik was a pioneering Korean American artist widely regarded as the father of video art, known for his innovative use of television, video, and multimedia installations.
  • E. Thomas Demand
    Thomas Demand is a contemporary German artist known for his meticulously constructed life-sized paper models that he photographs to explore themes of memory, media, and representation.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69b34553cbe48190afa8ac1cac285b86 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b356fd35088190be79efc6c7317e2a completed March 13, 2026, 12:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6378930c48190ae589a895e5b7bc6 completed March 15, 2026, 4:37 a.m.
Created at: March 12, 2026, 11:36 p.m.