Triple
T21970405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Monck |
E542572
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Monck |
—
|
NE NERFINISHED |
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: Monck | Statement: [George Monck, familyName, Monck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monck Context triple: [George Monck, familyName, Monck]
-
A.
Monck
chosen
Monck is the surname of George Monck, the 17th-century English general instrumental in the Restoration of King Charles II.
-
B.
Hayez
Hayez is the surname of Francesco Hayez, a prominent 19th-century Italian Romantic painter known for his historical and allegorical works.
-
C.
Anton Mauve
Anton Mauve was a Dutch realist painter associated with the Hague School, known for his atmospheric landscapes and scenes of rural life.
-
D.
Marquet
Marquet is a French surname most notably associated with the Fauvist painter Albert Marquet.
-
E.
Piet
Piet is a masculine given name of Dutch origin, commonly used in the Netherlands and Belgium.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c48070988190909db97667b9a0ac |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1245e4ebc8190968108cc95a22fe4 |
completed | April 28, 2026, 9:19 p.m. |
Created at: April 16, 2026, 8:02 p.m.