Triple

T1144617
Position Surface form Disambiguated ID Type / Status
Subject Captain Frans Banning Cocq E23534 entity
Predicate familyName P18 FINISHED
Object Banning Cocq E23534 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: Banning Cocq | Statement: [Captain Frans Banning Cocq, familyName, Banning Cocq]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Banning Cocq
Context triple: [Captain Frans Banning Cocq, familyName, Banning Cocq]
  • A. Captain Frans Banning Cocq chosen
    Captain Frans Banning Cocq was a 17th-century Amsterdam civic leader and militia captain best known as the central figure in Rembrandt’s famous painting "The Night Watch."
  • B. Honoré
    Honoré is the given name of the renowned 19th-century French novelist and playwright Honoré de Balzac.
  • C. Guillaume Tell
    Guillaume Tell was a large French ship of the line that served in the French Navy during the late 18th and early 19th centuries, notably participating in the Napoleonic Wars.
  • D. Marengo (horse)
    Marengo was Napoleon Bonaparte’s famous grey Arabian war horse, renowned for carrying him in several major battles during the Napoleonic Wars.
  • E. Catroux
    Catroux is a French surname most notably borne by Georges Catroux, a prominent French general and diplomat of the 20th 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_69a493ef399c8190b04b9146d2314f59 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bc5008d8819095c1ffb5db5b4911 completed March 1, 2026, 10:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac6677c7e48190ba8da088b78775a5 completed March 7, 2026, 5:55 p.m.
Created at: March 1, 2026, 7:44 p.m.