Triple

T3340617
Position Surface form Disambiguated ID Type / Status
Subject Hendrickje Stoffels E70248 entity
Predicate familyName P18 FINISHED
Object Stoffels E70248 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: Stoffels | Statement: [Hendrickje Stoffels, familyName, Stoffels]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stoffels
Context triple: [Hendrickje Stoffels, familyName, Stoffels]
  • A. Stoffels chosen
    Stoffels is the surname of Hendrickje Stoffels, best known as the partner and model of the Dutch painter Rembrandt van Rijn.
  • B. Mennekes
    Mennekes is a German electrical engineering company best known in e-mobility for developing the widely adopted Type 2 AC charging connector for electric vehicles.
  • C. Suter
    Suter is a surname of Germanic origin, often associated with individuals of Swiss or German heritage.
  • D. Mölders
    Mölders is a German surname most prominently associated with World War II Luftwaffe fighter ace Werner Mölders.
  • E. Gunther Stent
    Gunther Stent was a German-born American molecular biologist and philosopher of science known for his pioneering work in bacteriophage genetics and his reflections on the social and ethical implications of scientific research.
  • 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_69ad85a405e48190b6e68de7cf9f319e completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb1c0ae44819091c851569eaf4565 completed March 8, 2026, 5:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69b31a92555c81909a4769b6ecea5721 completed March 12, 2026, 7:57 p.m.
Created at: March 8, 2026, 3:12 p.m.