Triple

T11081819
Position Surface form Disambiguated ID Type / Status
Subject Joshua Kushner E262012 entity
Predicate parent P120 FINISHED
Object Seryl Kushner E354641 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: Seryl Kushner | Statement: [Joshua Kushner, parent, Seryl Kushner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seryl Kushner
Context triple: [Joshua Kushner, parent, Seryl Kushner]
  • A. Seryl Kushner chosen
    Seryl Kushner is an American businesswoman and matriarch of the Kushner family, best known as the mother of real estate investor and former presidential advisor Jared Kushner.
  • B. Nancy Kushner
    Nancy Kushner is a notable individual who shares the Kushner surname, recognized enough to be specifically cited as a bearer of the name.
  • C. Judith Kushner
    Judith Kushner is a notable individual who shares the Kushner surname, recognized enough to be specifically cited as a bearer of the name.
  • D. Ilene Chaiken
    Ilene Chaiken is an American television writer and producer best known as the creator of "The L Word" and a key creative force behind several high-profile drama series.
  • E. Ilene Rosenzweig
    Ilene Rosenzweig is a writer and editor best known for co-authoring lifestyle and design books with fashion designer Cynthia Rowley.
  • 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_69d6aa9983c08190b0ef61603b69feac completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d799985650819089b2c0f35a212414 completed April 9, 2026, 12:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69e712e6288481908071e248a50209e0 completed April 21, 2026, 6:02 a.m.
Created at: April 8, 2026, 9:27 p.m.