Triple

T20702242
Position Surface form Disambiguated ID Type / Status
Subject Tao Ruspoli E508812 entity
Predicate name P16 FINISHED
Object Tao Ruspoli 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: Tao Ruspoli | Statement: [Tao Ruspoli, name, Tao Ruspoli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tao Ruspoli
Context triple: [Tao Ruspoli, name, Tao Ruspoli]
  • A. Tao Ruspoli chosen
    Tao Ruspoli is an Italian-American filmmaker, photographer, and aristocrat known for his independent films and documentary work.
  • B. Andrea Orsini
    Andrea Orsini is the ambitious and resourceful Renaissance-era protagonist of Samuel Shellabarger’s historical novel "Prince of Foxes," known for his political intrigue and moral transformation in the service of Cesare Borgia.
  • C. Lorenzo De Stefano
    Lorenzo De Stefano is a film editor best known for his work on the influential bodybuilding documentary "Pumping Iron."
  • D. Pandolfo Savelli
    Pandolfo Savelli was a medieval Italian nobleman and politician from the influential Roman Savelli family, known for holding high offices in the Papal States.
  • E. Fabrizio Colonna
    Fabrizio Colonna was an Italian nobleman and condottiero of the powerful Colonna family, active in the late 15th and early 16th centuries.
  • 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_69e0b4c2b2a481909e31e9cb8f81ab55 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6c18cb9cc819095d0669dca037424 completed April 21, 2026, 12:15 a.m.
Created at: April 16, 2026, 12:12 p.m.