Triple

T7803355
Position Surface form Disambiguated ID Type / Status
Subject Holocaust Memorial E180485 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: [Holocaust Memorial, architect, Peter Eisenman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Eisenman
Context triple: [Holocaust Memorial, 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. Peter Rosenbaum
    Peter Rosenbaum is a cinematographer best known for his work on the 2008 coming-of-age film "The Wackness."
  • C. Robert Engelman
    Robert Engelman is a film producer known for his work on major Hollywood genre films, including action, science fiction, and fantasy projects.
  • D. Bruce Berman
    Bruce Berman is an American film producer and studio executive known for overseeing and producing numerous major Hollywood films.
  • E. Emanuel Goldenberg
    Emanuel Goldenberg, better known as Edward G. Robinson, was a Romanian-American actor famed for his tough-guy roles in classic Hollywood gangster films such as "Little Caesar."
  • 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_69ca827e50cc8190a92a733577184938 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69caf635a4648190af907a686d87f073 completed March 30, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb5a2fd718819097cee2482bca74ad completed March 31, 2026, 5:22 a.m.
Created at: March 30, 2026, 4:34 p.m.