Triple

T11081815
Position Surface form Disambiguated ID Type / Status
Subject Joshua Kushner E262012 entity
Predicate familyName P18 FINISHED
Object Kushner E256650 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: Kushner | Statement: [Joshua Kushner, familyName, Kushner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kushner
Context triple: [Joshua Kushner, familyName, Kushner]
  • A. Kushner chosen
    Kushner is a surname most prominently associated with Jared Kushner, an American real estate investor and former senior advisor to President Donald Trump.
  • B. Kushner family
    The Kushner family is a prominent American real estate and political family known for its extensive property holdings and close ties to former U.S. President Donald Trump through Jared Kushner.
  • C. Stephen Kushner
    Stephen Kushner is an individual notable enough to be recognized as a prominent bearer of the surname Kushner, though specific widely known public details about him are limited.
  • D. Buckley
    Buckley is a small city in Washington State known for its rural character and proximity to Mount Rainier.
  • E. Buckley
    Buckley is a surname most prominently associated with William F. Buckley Jr., the influential American conservative author and founder of National Review.
  • 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_69e3e789d7248190a40de0bdda539f45 completed April 18, 2026, 8:20 p.m.
Created at: April 8, 2026, 9:27 p.m.