Triple

T8964067
Position Surface form Disambiguated ID Type / Status
Subject Dr. Peter Duval E214081 entity
Predicate familyName P18 FINISHED
Object Duval E728679 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: Duval | Statement: [Dr. Peter Duval, familyName, Duval]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Duval
Context triple: [Dr. Peter Duval, familyName, Duval]
  • A. Duval chosen
    Duval is a surname of French origin borne by various notable individuals, including American territorial governor William Pope Duval.
  • B. Atala
    Atala is a romantic novella by François-René de Chateaubriand that helped inaugurate French Romanticism through its exotic American setting and themes of passion, religion, and tragic love.
  • C. Terrebonne
    Terrebonne is a suburban city in southwestern Quebec, Canada, located north of Montreal on the North Shore of the Rivière des Mille Îles.
  • D. Sumter
    Sumter is a surname of English origin most notably associated with several prominent American historical figures and families.
  • E. Grand Pré
    Grand Pré is a historic rural community in Nova Scotia, Canada, best known as a center of early Acadian settlement and the site of significant events during the colonial conflicts between France and Britain.
  • 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_69ca839cd6008190a1546a701a56710c completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc674b06f08190b2d992674a093592 completed April 1, 2026, 12:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc9512eec8190963aa68108691f7f completed April 3, 2026, 2:06 p.m.
Created at: March 30, 2026, 7:01 p.m.