Triple

T21505078
Position Surface form Disambiguated ID Type / Status
Subject Fred Sandback E530576 entity
Predicate name P16 FINISHED
Object Fred Sandback NE NERFINISHED

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: Fred Sandback | Statement: [Fred Sandback, name, Fred Sandback]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fred Sandback
Context triple: [Fred Sandback, name, Fred Sandback]
  • A. Fred Sandback chosen
    Fred Sandback was an American minimalist artist best known for his subtle, site-specific sculptures made from stretched yarn that delineate space with simple geometric lines.
  • B. Tony Cragg
    Tony Cragg is a renowned British sculptor known for his innovative use of materials and abstract forms, and for serving as a prominent professor at the Kunstakademie Düsseldorf.
  • C. Anthony Caro
    Anthony Caro was a pioneering British abstract sculptor known for his large-scale, brightly painted steel constructions that helped redefine modern sculpture in the 20th century.
  • D. Phyllida Barlow
    Phyllida Barlow was a British contemporary artist renowned for her monumental, improvised sculptural installations made from everyday materials.
  • E. Rachel Whiteread
    Rachel Whiteread is a British sculptor renowned for her large-scale cast works that capture the negative spaces of everyday objects and architectural interiors.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c45c81f08190a6b8bbb70a45aae7 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea7cb5588190a4473bbfe3f49cbb completed April 23, 2026, 9:46 a.m.
Created at: April 16, 2026, 6:24 p.m.