Triple
T10693949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Clercq |
E252081
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | LeClercq |
E252081
|
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: LeClercq | Statement: [Le Clercq, hasVariant, LeClercq]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LeClercq Context triple: [Le Clercq, hasVariant, LeClercq]
-
A.
Le Clercq
chosen
Le Clercq is the surname of Tanaquil Le Clercq, the renowned mid-20th-century American ballerina associated with the New York City Ballet.
-
B.
Lwoff
Lwoff is the surname of André Lwoff, a Nobel Prize–winning French microbiologist and virologist known for his work on the genetic regulation of viruses.
-
C.
Van der Koop
Van der Koop is a variant form of the surname "Koop," likely reflecting Dutch or Flemish naming conventions.
-
D.
Paul Janssen
Paul Janssen was a pioneering Belgian pharmacologist and entrepreneur who founded Janssen Pharmaceuticals and became one of the most prolific drug discoverers of the 20th century.
-
E.
K.D. Aubert
K.D. Aubert is an American actress and model known for her roles in early-2000s comedies and horror films, as well as for her work in fashion and music videos.
- 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_69d6aa5bd7c08190a816e733b4045c23 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fd38c24c8190a105a9dfdf705b38 |
completed | April 9, 2026, 1:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d988b002f88190921af43e551ccb85 |
completed | April 10, 2026, 11:33 p.m. |
Created at: April 8, 2026, 9:11 p.m.