Triple

T143333
Position Surface form Disambiguated ID Type / Status
Subject Harold T. Shapiro E2899 entity
Predicate name P16 FINISHED
Object Harold T. Shapiro E2899 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: Harold T. Shapiro | Statement: [Harold T. Shapiro, name, Harold T. Shapiro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harold T. Shapiro
Context triple: [Harold T. Shapiro, name, Harold T. Shapiro]
  • A. Harold T. Shapiro chosen
    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.
  • B. Bernard M. Gordon
    Bernard M. Gordon is an American engineer, inventor, and philanthropist known for pioneering work in high-speed analog-to-digital conversion and for major contributions to engineering education.
  • C. Philip M. Kaiser
    Philip M. Kaiser was an American diplomat and public servant who held several key ambassadorial posts during the Cold War era.
  • D. Daniel H. Weiss
    Daniel H. Weiss is an American art historian and academic leader who served as president and CEO of New York’s Metropolitan Museum of Art.
  • E. Sidney Verba
    Sidney Verba was a prominent American political scientist renowned for his pioneering work on political participation, comparative politics, and civic culture.
  • 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_69a2521e35c08190b28e5c9f1e3c9b59 completed Feb. 28, 2026, 2:25 a.m.
NER Named-entity recognition batch_69a257caf678819092e975d5167f9df4 completed Feb. 28, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69a41b4162208190a32e20bdd21b30a0 completed March 1, 2026, 10:56 a.m.
Created at: Feb. 28, 2026, 2:31 a.m.