Triple
T15622422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miss Jenny Du Pre |
E375589
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object | Du Pre |
E205230
|
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: Du Pre | Statement: [Miss Jenny Du Pre, hasFamilyName, Du Pre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Du Pre Context triple: [Miss Jenny Du Pre, hasFamilyName, Du Pre]
-
A.
du Pré
chosen
du Pré is the surname of the renowned British cellist Jacqueline du Pré, celebrated for her emotive and definitive interpretations of the cello repertoire.
-
B.
John Du Prez
John Du Prez is a British composer and musician best known for his film scores and long-running collaboration with the comedy group Monty Python.
-
C.
Duprez
Duprez is a French-origin surname borne by various notable figures, including artists and performers.
-
D.
Dupré
Dupré is a French surname most notably associated with the 19th-century landscape painter Jules Dupré, a key figure of the Barbizon school.
-
E.
Debus
Debus is a German surname most notably associated with Kurt Debus, a rocket engineer and the first director of NASA’s Kennedy Space Center.
- 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_69d85ccf2794819096cda4cbcb02d478 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e9a95f08190b0013ba1428849d3 |
completed | April 16, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff5f3da754819085a6bd9876b12c65 |
completed | May 9, 2026, 4:22 p.m. |
Created at: April 10, 2026, 4:14 a.m.