Triple

T10236930
Position Surface form Disambiguated ID Type / Status
Subject Guggenheim International Award E243486 entity
Predicate hasAwarded P2391 FINISHED
Object Yaacov Agam E647343 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: Yaacov Agam | Statement: [Guggenheim International Award, hasAwarded, Yaacov Agam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yaacov Agam
Context triple: [Guggenheim International Award, hasAwarded, Yaacov Agam]
  • A. Yaacov Agam chosen
    Yaacov Agam is an Israeli sculptor and experimental artist renowned as a pioneer of kinetic and optical art.
  • B. Yona Friedman
    Yona Friedman was a visionary Hungarian-French architect and urban planner known for his influential theories on mobile architecture and participatory, flexible urban design.
  • C. Leon Reiser
    Leon Reiser is the son of American actor and comedian Paul Reiser.
  • D. Leo Kahn
    Leo Kahn was an American entrepreneur and retail pioneer best known as a co-founder of the office-supplies giant Staples.
  • E. Leon Breiner
    Leon Breiner was a white neighbor who was shot and killed during the 1925 Ossian Sweet incident in Detroit, a racially charged confrontation that led to a landmark civil rights trial.
  • 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_69d381b0f97c819085c9b45799a5fb7c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d219ab04819094a17c96bf1d65ae completed April 7, 2026, 9:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f762732481909246dcb768074643 completed April 9, 2026, 12:48 a.m.
Created at: April 6, 2026, 11:22 a.m.