Triple

T14443092
Position Surface form Disambiguated ID Type / Status
Subject The Count of Monte Cristo (1954 film) E358133 entity
Predicate narrativeLocation P40 FINISHED
Object Château d’If E73176 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: Château d’If | Statement: [The Count of Monte Cristo (1954 film), narrativeLocation, Château d’If]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Château d’If
Context triple: [The Count of Monte Cristo (1954 film), narrativeLocation, Château d’If]
  • A. Château d’If chosen
    Château d’If is a historic island fortress off the coast of Marseille, France, best known as the setting of Alexandre Dumas’ novel "The Count of Monte Cristo."
  • B. Bastiglia
    Bastiglia is a small municipality in the Emilia-Romagna region of northern Italy, situated in the province of Modena.
  • C. Palacio de las Cadenas
    Palacio de las Cadenas is a prominent Renaissance palace in Úbeda, Spain, renowned for its elegant architecture and role within the city’s historic monumental ensemble.
  • D. Prison de l'Abbaye
    Prison de l'Abbaye was a notorious Parisian prison and former abbey used during the French Revolution to detain political prisoners and site of several massacres.
  • E. Citadella
    Citadella is a 19th-century fortress and popular panoramic lookout situated atop Gellért Hill in Budapest, Hungary.
  • 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_69d8279402a88190821ffa39ae15bccf completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de915d28ec81909e72124e9dd67bfb completed April 14, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda90a7f2881909a7744f1f4344173 completed May 8, 2026, 9:12 a.m.
Created at: April 10, 2026, 1:19 a.m.