Triple

T17238399
Position Surface form Disambiguated ID Type / Status
Subject Claude-Joseph Vernet E418423 entity
Predicate familyName P18 FINISHED
Object Vernet E418423 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: Vernet | Statement: [Claude-Joseph Vernet, familyName, Vernet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vernet
Context triple: [Claude-Joseph Vernet, familyName, Vernet]
  • A. Vernet chosen
    Vernet is a French surname most famously associated with the 18th–19th century family of painters, including marine artist Claude-Joseph Vernet and his descendants.
  • B. Nideggen
    Nideggen is a historic town in North Rhine-Westphalia, Germany, known for its medieval castle and scenic location in the Eifel region.
  • C. Cherain
    Cherain is a small village in the municipality of Gouvy in the province of Luxembourg, Belgium.
  • D. Rickenbach
    Rickenbach is a locality that forms part of the municipality of Wolfurt in the Austrian state of Vorarlberg.
  • E. Sigriswil
    Sigriswil is a municipality in the canton of Bern, Switzerland, known for its scenic location above Lake Thun and views of the surrounding Alps.
  • 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_69d886d8e96081909870bff6c3d0bf09 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42dfdc8688190aceb223c19a48781 completed April 19, 2026, 1:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01676596a48190ae17a411b86e613e completed May 11, 2026, 5:21 a.m.
Created at: April 10, 2026, 5:39 a.m.