Triple

T6559430
Position Surface form Disambiguated ID Type / Status
Subject Everett Sloane E152539 entity
Predicate notableWork P4 FINISHED
Object Prince of Foxes E432486 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: Prince of Foxes | Statement: [Everett Sloane, notableWork, Prince of Foxes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prince of Foxes
Context triple: [Everett Sloane, notableWork, Prince of Foxes]
  • A. Prince of Foxes chosen
    Prince of Foxes is a 1949 historical adventure film set in Renaissance Italy, starring Tyrone Power and Wanda Hendrix in a tale of intrigue, ambition, and romance.
  • B. Prince of Fu
    The Prince of Fu was the noble title held by Zhu Yousong before he became the Hongguang Emperor, an early Southern Ming ruler during the collapse of the Ming dynasty.
  • C. Prince of Vivaro
    The Prince of Vivaro is a hereditary noble title historically held by the influential Italian Borghese family.
  • D. Prince of Squillace
    The Prince of Squillace was an Italian Renaissance noble title in the Kingdom of Naples, notably held by Gioffre Borgia, the youngest son of Pope Alexander VI.
  • E. Princess Crossing
    Princess Crossing is a local shopping centre serving the Roodepoort area in Gauteng, South Africa, with a variety of retail stores and services.
  • 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_69c688058d6881908c19b309cc55dbfa completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae22442081909bd6e2ba0091c56b completed March 27, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cb8bae88819089cff70fa1101a39 completed March 27, 2026, 6:25 p.m.
Created at: March 27, 2026, 1:52 p.m.