Triple

T2150177
Position Surface form Disambiguated ID Type / Status
Subject Arielle Zuckerberg E47160 entity
Predicate parent P120 FINISHED
Object Karen Kempner E98803 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: Karen Kempner | Statement: [Arielle Zuckerberg, parent, Karen Kempner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karen Kempner
Context triple: [Arielle Zuckerberg, parent, Karen Kempner]
  • A. Karen Kempner chosen
    Karen Kempner is an American psychiatrist best known as the mother of Facebook co-founder Mark Zuckerberg.
  • B. Fern Kraemer
    Fern Kraemer was a party to the landmark U.S. Supreme Court case Shelley v. Kraemer, which held that courts could not enforce racially restrictive housing covenants.
  • C. Audrey Bilger
    Audrey Bilger is an American academic and administrator who serves as the president of Reed College in Portland, Oregon.
  • D. Annette Lerner
    Annette Lerner is a Washington, D.C.–area philanthropist and matriarch of the Lerner family, known for their real estate empire and former ownership of the Washington Nationals baseball team.
  • E. Nell Kellty
    Nell Kellty is the reclusive, feral young woman who lives in isolation in the Appalachian woods and becomes the focus of a psychological drama in the 1994 film "Nell."
  • 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_69a88a1933e0819094f18426ed74180f completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbe45dbf481909c0da056a1a99ece completed March 7, 2026, 5:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae58dc0b608190b5c6aed5b6b034fd completed March 9, 2026, 5:21 a.m.
Created at: March 4, 2026, 7:44 p.m.