Triple

T18700254
Position Surface form Disambiguated ID Type / Status
Subject Therese Loeb Schiff E457228 entity
Predicate relative P37 FINISHED
Object Nina Loeb 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: Nina Loeb | Statement: [Therese Loeb Schiff, relative, Nina Loeb]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nina Loeb
Context triple: [Therese Loeb Schiff, relative, Nina Loeb]
  • A. Nina Loeb chosen
    Nina Loeb was an American socialite and member of the prominent Loeb banking family who married financier and Federal Reserve pioneer Paul Warburg.
  • B. Rachel Leibowitz
    Rachel Leibowitz is a person notable enough to be specifically cited as a bearer of the surname Leibowitz.
  • C. Nina Danielle Sklar
    Nina Danielle Sklar, better known as Jessica Seinfeld, is an American author and philanthropist recognized for her cookbooks and for founding the charitable organization Good+ Foundation.
  • 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. Nina Bernstein
    Nina Bernstein is an American journalist best known for her investigative reporting on social justice, immigration, and child welfare for The New York Times.
  • 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_69d8d392aad081909fe31aa03e6e97d1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e562eb06b481908ef9efdb976008f3 completed April 19, 2026, 11:19 p.m.
Created at: April 10, 2026, 11:49 a.m.