Triple

T3249390
Position Surface form Disambiguated ID Type / Status
Subject Le Rêve E68138 entity
Predicate publisher P29 FINISHED
Object Charpentier E225104 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: Charpentier | Statement: [Le Rêve, publisher, Charpentier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charpentier
Context triple: [Le Rêve, publisher, Charpentier]
  • A. Charpentier chosen
    Charpentier is a French surname borne by various notable individuals across fields such as science, arts, and politics.
  • B. Gauthier
    Gauthier is a French given name and surname, equivalent to the English name Walter and historically borne by various notable figures in France and other Francophone regions.
  • C. Roussel
    Roussel is a surname of French origin, often used as an alternative spelling of Russell.
  • D. Ganthier
    Ganthier is a commune in western Haiti known for its rural character and proximity to the capital, Port-au-Prince.
  • E. Charlotte Charpentier
    Charlotte Charpentier was the wife of renowned Scottish novelist and poet Sir Walter Scott.
  • 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_69ad858e4c708190aa31d486cfee8a6a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaf3fc3c8819080ac95974581ca0e completed March 8, 2026, 5:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b28eb55734819093f470caacc3e29c completed March 12, 2026, 10 a.m.
Created at: March 8, 2026, 3:09 p.m.