Triple

T22269034
Position Surface form Disambiguated ID Type / Status
Subject Howie B E550426 entity
Predicate birthName P65 FINISHED
Object Howard Bernstein 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: Howard Bernstein | Statement: [Howie B, birthName, Howard Bernstein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Howard Bernstein
Context triple: [Howie B, birthName, Howard Bernstein]
  • A. Howard Bernstein chosen
    Howard Bernstein is a film and television producer best known for his work on the cult comedy "Wet Hot American Summer."
  • B. Marc Rosenthal
    Marc Rosenthal is an American illustrator and cartoonist known for his humorous, retro-style artwork in children’s books and magazines.
  • C. Jacob Weisberg
    Jacob Weisberg is an American political journalist, author, and former editor-in-chief of Slate known for his commentary on U.S. politics and public policy.
  • D. James Kantor
    James Kantor was a South African attorney who became notable for his controversial arrest and prosecution alongside anti-apartheid activists during the Rivonia Trial.
  • E. Mark Bomback
    Mark Bomback is an American screenwriter and producer known for his work on major studio films such as the modern Planet of the Apes series and various action and thriller movies.
  • 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_69e11e43d8208190aff4f9cf7f2c2a8a completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f141bde9f88190b533bcb88787b492 completed April 28, 2026, 11:24 p.m.
Created at: April 16, 2026, 8:40 p.m.