Triple

T16599202
Position Surface form Disambiguated ID Type / Status
Subject Howard Metzenbaum E403287 entity
Predicate name P16 FINISHED
Object Howard Morton Metzenbaum E403287 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: Howard Morton Metzenbaum | Statement: [Howard Metzenbaum, name, Howard Morton Metzenbaum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Howard Morton Metzenbaum
Context triple: [Howard Metzenbaum, name, Howard Morton Metzenbaum]
  • A. Howard Metzenbaum chosen
    Howard Metzenbaum was a long-serving Democratic U.S. Senator from Ohio known for his strong advocacy of consumer protections, gun control, and progressive social legislation.
  • B. Everett Riskin
    Everett Riskin was an American film producer active during Hollywood’s studio era, known for his work on popular comedies and mystery films.
  • C. Edward L. McDonnell
    Edward L. McDonnell is a film producer known for his work on major Hollywood thrillers, including the critically acclaimed crime drama "Sicario."
  • D. Edward L. McDonnell
    Edward L. McDonnell is a film and television producer known for his work on major projects including serving as an executive producer on the series "Shogun."
  • E. Jonathan Glickman
    Jonathan Glickman is an American film producer known for overseeing a range of major Hollywood projects, including big-budget comedies and franchise 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_69d883880d0c81908b5fcd454e767b60 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e35d74738c81909711654cf38af150 completed April 18, 2026, 10:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0075a226788190bfad73ffb6b32ec4 completed May 10, 2026, 12:10 p.m.
Created at: April 10, 2026, 5:16 a.m.