Triple

T18609984
Position Surface form Disambiguated ID Type / Status
Subject Francesca Hilton E454866 entity
Predicate name P16 FINISHED
Object Francesca Hilton NE NERFINISHED

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: Francesca Hilton | Statement: [Francesca Hilton, name, Francesca Hilton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Francesca Hilton
Context triple: [Francesca Hilton, name, Francesca Hilton]
  • A. Francesca Hilton chosen
    Francesca Hilton was an American actress, stand-up comedian, and the only daughter of hotel magnate Conrad Hilton and socialite Zsa Zsa Gabor.
  • B. Paris Hilton
    Paris Hilton is an American media personality, socialite, businesswoman, DJ, and reality TV star who rose to fame in the early 2000s and became a pop culture icon.
  • C. Jennifer Hilton
    Jennifer Hilton is a film producer known for her work on the movie "The First Time."
  • D. Rachel Roy
    Rachel Roy is an American fashion designer known for her eponymous contemporary womenswear brand and work with high-profile celebrity clients.
  • E. Nicky Hilton Rothschild
    Nicky Hilton Rothschild is an American socialite, fashion designer, and businesswoman, known for her work in the fashion industry and as a member of the Hilton hotel family.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d38bbe7c8190bdec3138e7d413c9 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54d0048b08190a7dd407f14d95799 completed April 19, 2026, 9:45 p.m.
Created at: April 10, 2026, 11:45 a.m.