Triple

T14418177
Position Surface form Disambiguated ID Type / Status
Subject Paris Hilton E357509 entity
Predicate greatGrandfather P15332 FINISHED
Object Conrad Hilton E103546 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: Conrad Hilton | Statement: [Paris Hilton, greatGrandfather, Conrad Hilton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Conrad Hilton
Context triple: [Paris Hilton, greatGrandfather, Conrad Hilton]
  • A. Conrad Hilton chosen
    Conrad Hilton was an American hotelier and businessman best known as the founder of Hilton Hotels.
  • B. Conrad Hilton Jr.
    Conrad Hilton Jr. was an American socialite and hotel heir best known for his tumultuous marriage to actress Elizabeth Taylor and his connection to the Hilton hotel family.
  • C. Augustine Halvorsen Hilton
    Augustine Halvorsen Hilton was the mother of American hotel magnate Conrad Hilton and a formative influence on his personal values and business philosophy.
  • D. F. W. P. Marriott
    F. W. P. Marriott was a British architect best known for designing London’s historic Vaudeville Theatre in the late 19th century.
  • E. J. Willard Marriott
    J. Willard Marriott was an American entrepreneur best known as the founder of Marriott Corporation, which grew from a small root beer stand into one of the world’s largest hotel and hospitality companies.
  • 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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90cec8e4819087c72d82f9caacda completed April 14, 2026, 7:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6d82f9ec81909e52485f6ec1837e completed May 8, 2026, 4:58 a.m.
Created at: April 10, 2026, 1:17 a.m.