Triple
T21307208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victor Maddern |
E525230
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Maddern |
—
|
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: Maddern | Statement: [Victor Maddern, familyName, Maddern]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maddern Context triple: [Victor Maddern, familyName, Maddern]
-
A.
Maddern
chosen
Maddern is a surname most notably associated with American stage actress Bessie Maddern London.
-
B.
Lonan
Lonan is a rural parish on the east coast of the Isle of Man, known for its scenic coastline and historic churches.
-
C.
Hawise
Hawise is a medieval European female given name borne by several noblewomen in England and France.
-
D.
Hindmarch
Hindmarch is an English surname most notably associated with British fashion designer Anya Hindmarch.
-
E.
Molyneaux
Molyneaux is a surname of likely Norman origin borne by various notable individuals, including politicians such as James Molyneaux.
- 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_69e0b518b8948190ad69cf9a8784d397 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e75aa69b40819081e74c042e7cd105 |
completed | April 21, 2026, 11:08 a.m. |
Created at: April 16, 2026, 4:05 p.m.