Triple

T15111313
Position Surface form Disambiguated ID Type / Status
Subject Koizumi Sangyo Corporation headquarters E360917 entity
Predicate architect P184 FINISHED
Object Peter Eisenman E73234 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: Peter Eisenman | Statement: [Koizumi Sangyo Corporation headquarters, architect, Peter Eisenman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Eisenman
Context triple: [Koizumi Sangyo Corporation headquarters, architect, Peter Eisenman]
  • A. Peter Eisenman chosen
    Peter Eisenman is an American architect and theorist known for his deconstructivist designs and intellectually rigorous, often controversial architectural works.
  • B. Leon Reiser
    Leon Reiser is the son of American actor and comedian Paul Reiser.
  • C. Peter Rosenbaum
    Peter Rosenbaum is a cinematographer best known for his work on the 2008 coming-of-age film "The Wackness."
  • D. Robert Engelman
    Robert Engelman is a film producer known for his work on major Hollywood genre films, including action, science fiction, and fantasy projects.
  • E. Bruce Berman
    Bruce Berman is an American film producer and studio executive known for overseeing and producing numerous major Hollywood films.
  • 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_69d85a0491ec8190830960be8fafb994 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0058c04f481909deeac0271d961b6 completed April 15, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee5e4752481908e456279a1dfbff6 completed May 9, 2026, 7:44 a.m.
Created at: April 10, 2026, 3:05 a.m.