Triple

T10510633
Position Surface form Disambiguated ID Type / Status
Subject Memorial Glade E247901 entity
Predicate hasDesigner P184 FINISHED
Object Michael Arad E219076 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: Michael Arad | Statement: [Memorial Glade, hasDesigner, Michael Arad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Arad
Context triple: [Memorial Glade, hasDesigner, Michael Arad]
  • A. Michael Arad chosen
    Michael Arad is an Israeli-American architect best known for creating the design of the National September 11 Memorial in New York City.
  • B. Yoel Herzog
    Yoel Herzog is a member of the prominent Herzog family, known primarily as a son of former Israeli president Chaim Herzog.
  • C. Nina Libeskind
    Nina Libeskind is an American businesswoman and co-founder of Studio Libeskind, known for managing and promoting the architectural practice of her husband, Daniel Libeskind.
  • D. Daniel Libeskind
    Daniel Libeskind is a Polish-American architect renowned for his emotionally charged, angular designs and major cultural projects, including the master plan for the rebuilt World Trade Center site in New York City.
  • E. Michael Berenbaum
    Michael Berenbaum is an American scholar, rabbi, and Holocaust historian known for his work on Holocaust education, museum development, and numerous books and films on Jewish history and memory.
  • 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_69d381c4aa948190942e1d803143fb0e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509b542088190868531f84deaf9e4 completed April 7, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dcee1db081908c791867e2438d30 completed April 10, 2026, 11:20 a.m.
Created at: April 6, 2026, 12:27 p.m.