Triple
T20840681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jan de Lannoy |
E513089
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | de Lannoy |
—
|
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 Lannoy | Statement: [Jan de Lannoy, familyName, de Lannoy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: de Lannoy Context triple: [Jan de Lannoy, familyName, de Lannoy]
-
A.
de Lannoy
chosen
De Lannoy is a European-origin surname historically associated with noble lineages and later anglicized in America as "Delano," notably borne by ancestors of U.S. President Franklin Delano Roosevelt.
-
B.
Lannoy
Lannoy is a French toponymic surname originating from a place of the same name, historically associated with noble families in France and the Low Countries.
-
C.
Rene Bonvanie
Rene Bonvanie is a technology executive and marketing leader best known for his senior leadership role at cybersecurity company Palo Alto Networks.
-
D.
Boutersem
Boutersem is a municipality in the Flemish Brabant province of Belgium, located in the Arrondissement of Leuven.
-
E.
Le Clercq
Le Clercq is the surname of Tanaquil Le Clercq, the renowned mid-20th-century American ballerina associated with the New York City Ballet.
- 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_69e0b4cf62a88190bbf92351e9e57259 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c34b17b88190b3290bd5100ad2ad |
completed | April 21, 2026, 12:22 a.m. |
Created at: April 16, 2026, 12:43 p.m.