Triple

T1836774
Position Surface form Disambiguated ID Type / Status
Subject Jamie Bernstein E41084 entity
Predicate name P16 FINISHED
Object Jamie Bernstein E41084 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: Jamie Bernstein | Statement: [Jamie Bernstein, name, Jamie Bernstein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jamie Bernstein
Context triple: [Jamie Bernstein, name, Jamie Bernstein]
  • A. Jamie Bernstein chosen
    Jamie Bernstein is an American narrator, writer, and filmmaker best known for her work promoting and interpreting the legacy of her father, composer and conductor Leonard Bernstein.
  • B. Scott Bernstein
    Scott Bernstein is a film producer known for working on major Hollywood projects, including the Aretha Franklin biopic "Respect" (2021).
  • C. Jacob Bernstein
    Jacob Bernstein is an American journalist, writer, and filmmaker known for his work with The New York Times and his documentaries on cultural and media figures.
  • D. Nina Bernstein
    Nina Bernstein is the daughter of renowned American composer and conductor Leonard Bernstein, known for helping preserve and promote her father's musical legacy.
  • E. Bonnie Bernstein
    Bonnie Bernstein is an American sports journalist and television personality known for her sideline reporting and coverage of major events across networks like ESPN and CBS.
  • 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_69a88647f9388190909bc36e795bdaec completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb028226481908558c11449e1d6b6 completed March 7, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69adc9b6dc9481908a83e60aee326bc4 completed March 8, 2026, 7:10 p.m.
Created at: March 4, 2026, 7:33 p.m.