Triple
T9228707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madeline Neroni |
E221755
|
entity |
| Predicate | maidenName |
P18
|
FINISHED |
| Object | Stanhope |
E450831
|
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: Stanhope | Statement: [Madeline Neroni, maidenName, Stanhope]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stanhope Context triple: [Madeline Neroni, maidenName, Stanhope]
-
A.
Stanhope
chosen
Stanhope is an English surname historically associated with several notable figures in British politics, literature, and the aristocracy.
-
B.
Stanhope
Stanhope is a small rural town in northern Victoria, Australia, known for its dairy farming and agricultural community.
-
C.
Stonely
Stonely is a small village in Cambridgeshire, England, situated close to the town of Kimbolton.
-
D.
Lenworth
Lenworth is the birth name of British comedian, actor, and television presenter Lenny Henry.
-
E.
Grosmont
Grosmont is a small village in North Yorkshire, England, known for its heritage railway station on the North Yorkshire Moors Railway and its scenic moorland surroundings.
- 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_69ca83ec8db08190a9110df8232885d2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccdaa1c5b4819081dac6713053a8ae |
completed | April 1, 2026, 8:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0666364608190b104425819ccedf1 |
completed | April 4, 2026, 1:16 a.m. |
Created at: March 30, 2026, 7:29 p.m.