Triple

T5962892
Position Surface form Disambiguated ID Type / Status
Subject Olivia Jane Cockburn E132680 entity
Predicate spouse P13 FINISHED
Object Tao Ruspoli E508812 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: Tao Ruspoli | Statement: [Olivia Jane Cockburn, spouse, Tao Ruspoli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tao Ruspoli
Context triple: [Olivia Jane Cockburn, spouse, 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. Lorenzo De Stefano
    Lorenzo De Stefano is a film editor best known for his work on the influential bodybuilding documentary "Pumping Iron."
  • C. Fabrizio Colonna
    Fabrizio Colonna was an Italian nobleman and condottiero of the powerful Colonna family, active in the late 15th and early 16th centuries.
  • D. Nicholas Tocco
    Nicholas Tocco is an American businessman best known as a co-founder of the Save Mart Supermarkets grocery chain.
  • E. Pantasilea Baglioni
    Pantasilea Baglioni was a noblewoman of the prominent Baglioni family of Perugia, known historically as the wife of the Italian condottiero Bartolomeo d'Alviano.
  • 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_69c0086c2364819091e9fe2f58fa2517 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c03a00e444819087f9df62263e83dc completed March 22, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e3ee20648190badedf60a8bc938b completed March 23, 2026, 6:55 a.m.
Created at: March 22, 2026, 4:03 p.m.