Triple

T2542485
Position Surface form Disambiguated ID Type / Status
Subject Neil Simon Theatre E57815 entity
Predicate architect P184 FINISHED
Object Herbert J. Krapp E275083 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: Herbert J. Krapp | Statement: [Neil Simon Theatre, architect, Herbert J. Krapp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Herbert J. Krapp
Context triple: [Neil Simon Theatre, architect, Herbert J. Krapp]
  • A. Herbert J. Krapp chosen
    Herbert J. Krapp was a prominent early 20th-century American theater architect known for designing many of Broadway’s most famous playhouses.
  • B. Rudolph G. Kopp
    Rudolph G. Kopp was an American film composer and orchestrator active during Hollywood’s Golden Age, known for scoring numerous studio productions.
  • C. Max J. Kohler
    Max J. Kohler was a Jewish-American lawyer and historian known for his work on immigration law and the defense of civil and religious liberties in the United States.
  • D. William B. Franke
    William B. Franke was a United States businessman and public official who served as Secretary of the Navy during the Eisenhower administration.
  • E. Harold T. Shapiro
    Harold T. Shapiro is an economist and academic leader best known for serving as president of both Princeton University and the University of Michigan and for his influential work at the intersection of higher education and public policy.
  • 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_69ab4a5212d88190b989ce129f2ad87f completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd2bd92f88190bf100c799f62210c completed March 7, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69b4dae21cf08190913e7b764b3acb20 completed March 14, 2026, 3:49 a.m.
Created at: March 6, 2026, 9:47 p.m.