Triple
T7579150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albert von Le Coq |
E179440
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | von Le Coq |
E179440
|
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: von Le Coq | Statement: [Albert von Le Coq, familyName, von Le Coq]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: von Le Coq Context triple: [Albert von Le Coq, familyName, von Le Coq]
-
A.
von Le Coq
chosen
von Le Coq is the surname of Albert von Le Coq, a notable German archaeologist and explorer known for his expeditions in Central Asia.
-
B.
Lemaire
Lemaire is a French surname borne by various notable figures in fields such as sports, politics, and the arts.
-
C.
Herve
Herve is a municipality in the province of Liège in Wallonia, eastern Belgium, known for its rural landscape and traditional Herve cheese.
-
D.
La Senza
La Senza is a Canadian-based lingerie and intimate apparel retailer known for its affordable, fashion-focused underwear and sleepwear collections.
-
E.
de Waroquier
De Waroquier is a French surname most notably associated with Henri de Waroquier, a 20th-century painter, sculptor, and engraver.
- 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_69c69f327db881909a21ae3b156f8ded |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f97460a481909d61fba555567b66 |
completed | March 27, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8616d87f881909fe23220dc77167c |
completed | March 28, 2026, 11:17 p.m. |
Created at: March 27, 2026, 3:52 p.m.