Triple
T15419585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | K.D. Aubert |
E369337
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | K.D. Aubert |
E369337
|
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: K.D. Aubert | Statement: [K.D. Aubert, name, K.D. Aubert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: K.D. Aubert Context triple: [K.D. Aubert, name, K.D. Aubert]
-
A.
K.D. Aubert
chosen
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.
-
B.
Maurice Dunand
Maurice Dunand was a French archaeologist renowned for his extensive excavations and research on ancient Near Eastern and Levantine sites.
-
C.
Christian Dotremont
Christian Dotremont was a Belgian painter, poet, and theorist best known as a co-founder of the avant-garde CoBrA art movement and for his innovative "logogram" calligraphic works.
-
D.
Dr. Royer-Collard
Dr. Royer-Collard is a stern, authoritarian physician and moralist in the film "Quills," serving as a key antagonist to the Marquis de Sade.
-
E.
Gustave Jéquier
Gustave Jéquier was a Swiss Egyptologist known for his extensive excavations and research on Old Kingdom pyramids and funerary complexes in Egypt.
- 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_69d85a1849f48190bf898068b2806fae |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ebce4f48190ba282ecb4fb2f6fa |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1a7adb848190836fb972bc8744f1 |
completed | May 9, 2026, 11:28 a.m. |
Created at: April 10, 2026, 3:20 a.m.