Triple

T3416416
Position Surface form Disambiguated ID Type / Status
Subject The Count of Monte Cristo E72018 entity
Predicate firstPublishedIn P309 FINISHED
Object Journal des débats E234512 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: Journal des débats | Statement: [The Count of Monte Cristo, firstPublishedIn, Journal des débats]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Journal des débats
Context triple: [The Count of Monte Cristo, firstPublishedIn, Journal des débats]
  • A. Journal des débats chosen
    Journal des débats was a prominent 19th-century French newspaper known for its influential political commentary and cultural criticism.
  • B. Journal de la République française
    Journal de la République française was a radical revolutionary newspaper edited by Jean-Paul Marat that powerfully influenced public opinion during the French Revolution.
  • C. La Presse
    La Presse is a prominent French-language newspaper historically known for serializing major literary works and influencing public opinion in France.
  • D. Revue de Paris
    Revue de Paris was a prominent 19th-century French literary periodical that published major works by leading authors of the time.
  • E. Le Monde
    Le Monde is a leading French daily newspaper known for its in-depth political, cultural, and international reporting.
  • 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_69ad85ad38e48190b7660c5118a35289 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb92ae6148190958d6bb735258cab completed March 8, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3546c88008190980a51195251af91 completed March 13, 2026, 12:03 a.m.
Created at: March 8, 2026, 3:15 p.m.