Triple

T19691381
Position Surface form Disambiguated ID Type / Status
Subject Light and Space movement E472841 entity
Predicate movementParticipant P6467 FINISHED
Object Larry Bell 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: Larry Bell | Statement: [Light and Space movement, movementParticipant, Larry Bell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Larry Bell
Context triple: [Light and Space movement, movementParticipant, Larry Bell]
  • A. Larry Bell chosen
    Larry Bell is an American contemporary artist best known for his pioneering glass cube sculptures and explorations of light, reflection, and perception.
  • B. Larry Bell
    Larry Bell was an American aviation pioneer and industrialist who established the Bell Aircraft Corporation, a key player in early military and experimental aircraft development.
  • C. James Turrell
    James Turrell is an American artist renowned for his immersive light and space installations that explore perception, color, and the experience of seeing.
  • D. Jules Olitski
    Jules Olitski was a Russian-born American abstract painter known for his Color Field works featuring atmospheric sprays of color and innovative staining techniques.
  • E. James Flavin
    James Flavin was an American character actor known for his prolific appearances in films and television from the 1930s through the 1960s, often portraying authority figures such as policemen and military officers.
  • 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_69d8e515bef88190bc30781aea50537a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6421013c4819095e80aadfe590102 completed April 20, 2026, 3:11 p.m.
Created at: April 10, 2026, 1:46 p.m.