Triple
T20076003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henri de Waroquier |
E499864
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | de Waroquier |
—
|
NE NERFINISHED |
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: de Waroquier | Statement: [Henri de Waroquier, familyName, de Waroquier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: de Waroquier Context triple: [Henri de Waroquier, familyName, de Waroquier]
-
A.
de Waroquier
chosen
De Waroquier is a French surname most notably associated with Henri de Waroquier, a 20th-century painter, sculptor, and engraver.
-
B.
Cortébert
Cortébert is a small municipality and village in the French-speaking Jura bernois region of the canton of Bern in Switzerland.
-
C.
Bollaert
Bollaert is the commonly used nickname for Stade Bollaert-Delelis, the historic football stadium in Lens, France.
-
D.
Royer
Royer was a costume designer known for his work on classic Hollywood films, including the 1939 drama "The Rains Came."
-
E.
Ducrot
Ducrot is a French surname most notably borne by Auguste-Alexandre Ducrot, a 19th-century French general.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da627770948190997f486f9a2e370f |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6643bcfd48190893abd3734f15cd3 |
completed | April 20, 2026, 5:37 p.m. |
Created at: April 11, 2026, 3:40 p.m.