Triple

T8763154
Position Surface form Disambiguated ID Type / Status
Subject Paolo Montalban E208253 entity
Predicate playedCharacter P1507 FINISHED
Object Prince Christopher E208254 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 Christopher | Statement: [Paolo Montalban, playedCharacter, Prince Christopher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prince Christopher
Context triple: [Paolo Montalban, playedCharacter, Prince Christopher]
  • A. Prince Christopher chosen
    Prince Christopher is the charming royal love interest of Cinderella in the 1997 Rodgers and Hammerstein musical film adaptation.
  • B. Henricus
    Henricus was a medieval Roman Catholic bishop who served as the ecclesiastical leader of the Diocese of Gardar in Greenland.
  • C. Henricus
    Henricus was an early 17th-century English colonial settlement in Virginia, established as one of the first permanent towns in North America.
  • D. Christian, Prince-Elect of Denmark
    Christian, Prince-Elect of Denmark was a 17th-century Danish royal prince, designated heir to the throne but who died before succeeding, and a son of King Christian IV.
  • E. Prince Hans Christian of Denmark
    Prince Hans Christian of Denmark was a Danish royal prince from the House of Oldenburg, known primarily as a younger son in the line of succession during the late 17th century.
  • 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_69ca835df7e08190ac875664cca8f9ca completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5dfc85e481909a7ce80c5022e6e9 completed March 31, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf5197263881908038b5e2105e9170 completed April 3, 2026, 5:35 a.m.
Created at: March 30, 2026, 6:40 p.m.