Triple

T10870976
Position Surface form Disambiguated ID Type / Status
Subject Kushner E256650 entity
Predicate hasNotableBearer P458 FINISHED
Object Don Kushner E241131 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: Don Kushner | Statement: [Kushner, hasNotableBearer, Don Kushner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Don Kushner
Context triple: [Kushner, hasNotableBearer, Don Kushner]
  • A. Donald Kushner chosen
    Donald Kushner is an American film producer best known for producing the groundbreaking science-fiction film "Tron" (1982).
  • B. Will Kopelman
    Will Kopelman is an American art consultant and former actor best known for his high-profile marriage to actress Drew Barrymore.
  • C. Theodore James Kushner
    Theodore James Kushner is a son of American investor and former senior White House advisor Jared Kushner and Ivanka Trump, making him a grandchild of former U.S. President Donald Trump.
  • D. Paul Wernick
    Paul Wernick is an American screenwriter best known for co-writing the hit Deadpool films and other major Hollywood action-comedies.
  • E. Tom Mendelsohn
    Tom Mendelsohn is an Australian man known primarily as the brother of acclaimed actor Ben Mendelsohn.
  • 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_69d6aa83d1448190a66d93c32394d21f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d75186e75c8190bf046ea666faff54 completed April 9, 2026, 7:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff7dbea28819083511b56bcd7d4ce completed April 15, 2026, 8:41 p.m.
Created at: April 8, 2026, 9:20 p.m.