Triple
T3715020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | de Lannoy |
E81506
|
entity |
| Predicate | hasSpellingVariant |
P457
|
FINISHED |
| Object | De Lannoy |
E81506
|
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: De Lannoy | Statement: [de Lannoy, hasSpellingVariant, De Lannoy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: De Lannoy Context triple: [de Lannoy, hasSpellingVariant, 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.
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.
-
C.
Jan D'Alquen
Jan D'Alquen is a cinematographer best known for his work on the classic coming-of-age film "American Graffiti."
-
D.
Benoit Dageville
Benoit Dageville is a French computer scientist and entrepreneur best known as a co-founder of the cloud data platform company Snowflake.
-
E.
Frank Schoonover
Frank Schoonover was an American illustrator associated with the Brandywine School, renowned for his adventure, Western, and historical paintings in early 20th-century magazines and books.
- 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_69ad8b1a81588190b3f27a5483bb610e |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adc9ce253c8190ada8eaa395fd3d5c |
completed | March 8, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4ce0f690c819091d9caf9271f9bbd |
completed | March 14, 2026, 2:55 a.m. |
Created at: March 8, 2026, 3:33 p.m.