Triple

T19926542
Position Surface form Disambiguated ID Type / Status
Subject John Hejduk E478936 entity
Predicate influenced P9 FINISHED
Object Peter Eisenman 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: Peter Eisenman | Statement: [John Hejduk, influenced, Peter Eisenman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Eisenman
Context triple: [John Hejduk, influenced, 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 (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_69d8e521855c8190b41871700afc8d6a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e659ca52c881908dc8053bf61be4c4 completed April 20, 2026, 4:52 p.m.
Created at: April 10, 2026, 1:53 p.m.