Triple
T15783146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Delannoy |
E382669
|
entity |
| Predicate | hasVariant |
P455
|
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: [Delannoy, hasVariant, De Lannoy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: De Lannoy Context triple: [Delannoy, hasVariant, 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.
An D’Huys
An D’Huys is a costume designer known for her work on the stage adaptation of "All About Eve" and other prominent theatre and film productions.
-
C.
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.
-
D.
Noel Desenfans
Noel Desenfans was an 18th–19th century French-born art dealer and collector who became a key figure in the British art world and co-founded the Dulwich Picture Gallery.
-
E.
Jan D'Alquen
Jan D'Alquen is a cinematographer best known for his work on the classic coming-of-age film "American Graffiti."
- 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_69d86da16e188190b89af699f1ed0bfe |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e05401c4788190a31c180953433db9 |
completed | April 16, 2026, 3:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff90a2476c8190a153fb47cb4e7708 |
completed | May 9, 2026, 7:53 p.m. |
Created at: April 10, 2026, 4:48 a.m.